Publications

Selected (Authored / Editted) Books / Chapters

• S Jha, U Tariq, GP Joshi and VK Solanki, "Industrial Internet of Things Technologies, Design, and Applications", ISBN 9780367607777 by CRC Press 1, (2022): 248 pages

• Jan Nikodem, Marek Woda, Maciej Nikodem, Usman Tariq and Ryszard Klempous, (2011), Energy Awareness Spatial Routing in Wireless Sensors Network, ISBN 9781468128994 

• Usman Tariq, (2011), Security Cottage: a Secure Environment for IEEE 802.15.4 Devices, ISBN # 978-1456442705 

Selected Journal Papers

• T. A. Ahanger, U. Tariq, A. Aldaej, A. Almehizia and M. Bhatia, "IoT-Inspired Smart Disaster Evacuation Framework," in IEEE Internet of Things Journal, https://doi.org/10.1109/JIOT.2023.3335955  

• Tariq, U.; Ahmed, I.; Khan, M. A.; Bashir, A.K., Fortifying IoT against crimpling cyber-attacks: a systematic review. Karbala International Journal of Modern Scienc. 2023, 9, 4, 665-686. https://doi.org/10.33640/2405-609X.3329  

• M. N. Akbar, S. Khan, M. U. Farooq, M. Alhaisoni, U. Tariq et al., "Hybridhr-net: action recognition in video sequences using optimal deep learning fusion assisted framework," Computers, Materials & Continua, vol. 76, no.3, pp. 3275–3295, 2023.  https://doi.org/10.32604/cmc.2023.039289 

• Tariq, U.; Ahmed, I.; Bashir, A.K.; Shaukat, K. A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review. Sensors 2023, 23, 4117. https://doi.org/10.3390/s23084117 

• Ahanger, T.A.; Tariq, U.; Dahan, F.; Chaudhry, S.A.; Malik, Y. Securing IoT Devices Running PureOS from Ransomware Attacks: Leveraging Hybrid Machine Learning Techniques. Mathematics 2023, 11, 2481. https://doi.org/10.3390/math11112481 

• Khan, M.A.; Alhakami, H.; Ullah, I.; Alhakami, W.; Mohsan, S.A.H.; Tariq, U.; Innab, N. A Resource-Friendly Certificateless Proxy Signcryption Scheme for Drones in Networks beyond 5G. Drones 2023, 7, 321. https://doi.org/10.3390/drones7050321 

• T. A. Ahanger, F. Dahan and U. Tariq, "Hybridizing artificial bee colony with bat algorithm for web service composition," Computer Systems Science and Engineering, vol. 46, no.2, pp. 2429–2445, 2023.  https://doi.org/10.32604/csse.2023.037692 

• Malik, S.; Akram, T.; Awais, M.; Khan, M.A.; Hadjouni, M.; Elmannai, H.; Alasiry, A.; Marzougui, M.; Tariq, U. An Improved Skin Lesion Boundary Estimation for Enhanced-Intensity Images Using Hybrid Metaheuristics. Diagnostics 2023, 13, 1285. https://doi.org/10.3390/diagnostics13071285 

• Jabeen, K.; Khan, M.A.; Balili, J.; Alhaisoni, M.; Almujally, N.A.; Alrashidi, H.; Tariq, U.; Cha, J.-H. BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection. Diagnostics 2023, 13, 1238. https://doi.org/10.3390/diagnostics13071238 

• Mohammed, M.A.; Lakhan, A.; Zebari, D.A.; Abdulkareem, K.H.; Nedoma, J.; Martinek, R.; Tariq, U.; Alhaisoni, M.; Tiwari, P. Adaptive Secure Malware Efficient Machine Learning Algorithm for Healthcare Data. CAAI Transactions on Intelligence Technology 2023, doi:10.1049/cit2.12200.

• Khan, M.A.; Akram, T.; Zhang, Y.; Alhaisoni, M.; Al Hejaili, A.; Shaban, K.A.; Tariq, U.; Zayyan, M.H. SkinNet‐ENDO : Multiclass Skin Lesion Recognition Using Deep Neural Network and Entropy‐Normal Distribution Optimization Algorithm with ELM. International Journal of Imaging Systems and Technology 2023, doi:10.1002/ima.22863.

• K. Ibrar, A. M. Fayyaz, M. A. Khan, M. Alhaisoni, U. Tariq et al., "Human personality assessment based on gait pattern recognition using smartphone sensors," Computer Systems Science and Engineering, vol. 46, no.2, pp. 2351–2368, 2023. https://doi.org/10.32604/csse.2023.036185 

• Ahmad, R.; Awais, M.; Kausar, N.; Tariq, U.; Cha, J.-H.; Balili, J. Leukocytes Classification for Leukemia Detection Using Quantum Inspired Deep Feature Selection. Cancers 2023, 15, 2507. https://doi.org/10.3390/cancers15092507 

• Ahmad, W.; Khan, H.U.; Iqbal, T.; Khan, M.A.; Tariq, U.; Cha, J.-h. Hybrid Multichannel-Based Deep Models Using Deep Features for Feature-Oriented Sentiment Analysis. Sustainability 2023, 15, 7213. https://doi.org/10.3390/su15097213 

• S. Rehman, M. A. Khan, M. Alhaisoni, A. Armghan, U. Tariq et al., "A framework of deep optimal features selection for apple leaf diseases recognition," Computers, Materials & Continua, vol. 75, no.1, pp. 697–714, 2023. https://doi.org/10.32604/cmc.2023.035183 

• Khan, M.A.; Arshad, H.; Khan, W.Z.; Alhaisoni, M.; Tariq, U.; Hussein, H.S.; Alshazly, H.; Osman, L.; Elashry, A. HGRBOL2: Human Gait Recognition for Biometric Application Using Bayesian Optimization and Extreme Learning Machine. Future Generation Computer Systems 2023, 143, 337–348, https://doi.org/10.1016/j.future.2023.02.005 .

• Ibrahim, A., Tariq, U., Ahamed Ahanger, T., Tariq, B., & Gebali, F. (2023). Retaliation against Ransomware in Cloud-Enabled PureOS System. Mathematics, 11(1), 249. MDPI AG. Retrieved from http://dx.doi.org/10.3390/math11010249 

• Ahanger, T. A., Dahan, F., Tariq, U., & Ullah, I. (2022). Quantum Inspired Task Optimization for IoT Edge Fog Computing Environment. Mathematics, 11(1), 156. MDPI AG. Retrieved from http://dx.doi.org/10.3390/math11010156 

• Ibrahim A, Tariq U, Ahanger TA, Gebali F. Low-Complexity One-Dimensional Parallel Semi-Systolic Structure for Field Montgomery Multiplication Algorithm Perfect for Small IoT Edge Nodes. Mathematics. 2023; 11(1):111. https://doi.org/10.3390/math11010111  
  
  

• Tariq, U. Zero-Tolerance Security Paradigm for Enterprise-Specific Industrial Internet of Things. Electronics 2022, 11, 3953. https://doi.org/10.3390/electronics11233953

• Tariq U, Ullah I, Uddin MY, Kwon SJ. An Effective Self-Configurable Ransomware Prevention Technique for IoMT. Sensors. 2022; 22(21):8516. https://doi.org/10.3390/s22218516 

• Nusir, M.; Louati, A.; Louati, H.; Tariq U.; Zitar, R.A.; Abualigah, L.; Gandomi, A.H. Design Research Insights on Text Mining Analysis: Establishing the Most Used and Trends in Keywords of Design Research Journals. Electronics 2022, 11, 3930. https://doi.org/10.3390/electronics11233930 

• Almadhor, A, Sattar, U, Hejaili, AA, Mohammad, UG, Tariq U, & Chikha, HB (2022). An efficient computer vision-based approach for acute lymphoblastic leukemia prediction. Frontiers in Computational Neuroscience, 16, 1-10. Frontiers. https://doi.org/10.3389/fncom.2022.1083649 

• Khan MA, Sahar N, Khan WZ, Alhaisoni M, Tariq U, Zayyan MH, Kim YJ, Chang B. GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification. Diagnostics. 2022; 12(11):2718. https://doi.org/10.3390/diagnostics12112718

• M. J. Umer, M. Sharif, M. Alhaisoni, U. Tariq, Y. J. Kim et al., "A framework of deep learning and selection-based breast cancer detection from histopathology images," Computer Systems Science and Engineering, vol. 45, no.2, pp. 1001–1016, 2023. https://doi.org/10.32604/csse.2023.030463 

• Ullah S, Mohammadani KH, Khan MA, Ren Z, Alkanhel R, Muthanna A, Tariq U. Position-Monitoring-Based Hybrid Routing Protocol for 3D UAV-Based Networks. Drones. 2022; 6(11):327. https://doi.org/10.3390/drones6110327

• Abbas, S., Khan, M. A., Alhaisoni, M., Tariq, U., Armghan, A. et al. (2023). Crops Leaf Diseases Recognition: A Framework of Optimum Deep Learning Features. CMC-Computers, Materials & Continua, 74(1), 1139–1159.

• Masood, M, Maham, R, Javed, A, Tariq, U, Khan, MA, & Kadry, S (2022). Brain MRI analysis using deep neural network for medical of internet things applications. Computers and Electrical Engineering, 103, 1-16

• Faryal, M., Rubab, S., Khan, M.M. et al. Studying efficacy of traditional software quality parameters in quantum software engineering. Opt Quant Electron 54, 611 (2022). https://doi.org/10.1007/s11082-022-03943-x

• Naeem, MA, Zikria, YB, Ali, R, Tariq, U, Meng, Y, & Bashir, AK. Cache in fog computing design, concepts, contributions, and security issues in machine learning prospective. Digital Communications and Network, 1-30, 2022.

• Fahad Majeed, Farrukh Zeeshan Khan, Maria Nazir, Zeshan Iqbal, Majed Alhaisoni, Usman Tariq, Muhammad Attique Khan, Seifedine Kadry, "Investigating the efficiency of deep learning based security system in a real-time environment using YOLOv5". Sustainable Energy Technologies and Assessments, vol. 53, pp. 1-9, 2022. 

• Majeeda, F, Khan, FZ, Nazir, M, Iqbal, Z, Alhaisoni, M, U. Tariq, et al., "Investigating the efficiency of deep learning based security system in a real-time environment using YOLOv5." Sustainable Energy Technologies and Assessments, vol. 53, pp. 1-9. 2022

• M. Ali, J. H. Shah, M. A. Khan, M. Alhaisoni, U. Tariq et al., "Brain tumor detection and classification using pso and convolutional neural network," CMC-Computers, Materials & Continua, vol. 73, no.3, pp. 4501–4518, 2022.

• M. Naeem Akbar, F. Riaz, A. Bilal Awan, M. Attique Khan, U. Tariq et al., "A hybrid duo-deep learning and best features based framework for action recognition," CMC-Computers, Materials & Continua, vol. 73, no.2, pp. 2555–2576, 2022.

• Ali, MU, Zafar, A, Masood, H, Kallu, KD, Khan, MA, Tariq, U, Kim, YJ, & Chang, B (2022). A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries. Computational Intelligence and Neuroscience, 2022, 1-14, doi.org/10.1155/2022/1575303

• Sarwar, MU, Gillani, LF, Almadhor, A, Shakya, M, & Tariq, U (2022). Improving Recognition of Overlapping Activities with Less Interclass Variations in Smart Homes through Clustering-Based Classification. Computational Intelligence and Neuroscience, 2022, 1-16, doi.org/10.1155/2022/8303856 . 

• Anwar, S, Beg, MO, Saleem, K, Ahmed, Z, Javed, AR, & Tariq, U (2022). Social relationship analysis using state-of-the-art embeddings. ACM Transactions on Asian and Low-Resource Language Information Processing, 1-23, doi.org/10.1145/3539608 

• M. Shahid Amin, J. Hussain Shah, M. Yasmin, G. Jillani Ansari, M. Attique Khan et al., "A two stream fusion assisted deep learning framework for stomach diseases classification," Computers, Materials & Continua, vol. 73, no.2, pp. 4423–4439, 2022.

• Tariq, U. Rampant Smoothing (RTS) Algorithm: an optimized consensus mechanism for private Blockchain enabled technologies. J Wireless Com Network 2022, 47 (2022). https://doi.org/10.1186/s13638-022-02123-5

• Nawaz, M, Nazir, T, Masood, M, Ali, F, Khan, MA, Tariq, U, Sahar, N, & ... (2022). Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network. International Journal of Imaging Systems and Technology, 1-17. doi:10.1002/ima.22750 

• Awais, M, Paara, M, Ahmed, A, & Tariq, U (2022). Energy Efficient Design of Fast Fourier Transform using Reversible Logic. Sustainable Energy Technologies and Assessments 52 (C), 1-15, https://doi.org/10.1016/j.seta.2022.102257  

• Sharif, MI, Li, JP, Khan, MA, Kadry, S, & Tariq, U (2022). M3BTCNet: multi model brain tumor classification using metaheuristic deep neural network features optimization. Neural Computing and Applications, 34, 1-16, https://doi.org/10.1007/s00521-022-07204-6

• Ullah, A, Zhaoyun, S, Tariq, U, Uddin, MI, Khatoon, A, & Rizvi, SS (2022). Gray-Level Image Transformation of Paved Road Cracks with Metaphorical and Computational Analysis. Mathematical Problems in Engineering, 2022, 1-14,  https://doi.org/10.1155/2022/8013474   Usman Tariq, Tariq Ahamed Ahanger, Atef Ibrahim, Yassine Saleh Bouteraa, “The Industrial Internet of Things (IIoT): an Anomaly Identification and Countermeasure Method”, in proceedings of Journal of Circuits, Systems, and Computers, 2022 

• Bouteraa Y, Alattas KA, Mobayen S, Golestani M, Ibrahim A, Tariq U. Disturbance Observer-Based Tracking Controller for Uncertain Marine Surface Vessel. Actuators. 2022; 11(5):128. https://doi.org/10.3390/act11050128 

• Abid, R, Rizwan, M, Veselý, P, Basharat, A, Tariq, U, & Javed, AR (2022). Social Networking Security during COVID-19: A Systematic Literature Review. Wireless Communications and Mobile Computing, 2022, pp. 1-21, https://doi.org/10.1155/2022/2975033 

• Ahanger, T.A.; Tariq, U.; Ibrahim, A.; Ullah, I.; Bouteraa, Y.; Gebali, F. Securing IoT-Empowered Fog Computing Systems: Machine Learning Perspective. Mathematics 2022, 10, 1298. https://doi.org/10.3390/math10081298  

• A. Abbasi, A. R. Javed, A. Yasin, Z. Jalil, N. Kryvinska and U. Tariq, "A Large-Scale Benchmark Dataset for Anomaly Detection and Rare Event Classification for Audio Forensics," in IEEE Access, doi: 10.1109/ACCESS.2022.3166602.

• Ibrahim, A.; Gebali, F.; Bouteraa, Y.; Tariq, U.; Ahamad, T.; Nazih, W. Low-Space Bit-Parallel Systolic Structure for AOP-Based Multiplier Suitable for Resource-Constrained IoT Edge Devices. Mathematics 2022, 10, 815. https://doi.org/10.3390/math10050815

• Alroobaea, R., Arul, R., Rubaiee, S. et al. AI-assisted bio-inspired algorithm for secure IoT communication networks. Cluster Comput (2022). https://doi.org/10.1007/s10586-021-03520-z

• KhoKhar, Fahad Ahmed, Shah, Jamal Hussain, Khan, Muhammad Attique, Tariq, Usman & ..., Muhammad (2022). A review on federated learning towards image processing. Computers & Electrical Engineering, 99, https://doi.org/10.1016/j.compeleceng.2022.107818 

•  Aqeel, A.; Hassan, A.; Khan, M.A.; Rehman, S.; Tariq, U.; Kadry, S.; Majumdar, A.; Thinnukool, O. A Long Short-Term Memory Biomarker-Based Prediction Framework for Alzheimer’s Disease. Sensors 2022, 22, 1475. https://doi.org/10.3390/s22041475 

• Nasir, Inzamam Mashood, Raza, Mudassar, Shah, Jamal Hussain, Tariq, Usman, & ..., Shui-Hua Wang (2022). HAREDNet: A deep learning based architecture for autonomous video surveillance by recognizing human actions. Computers & Electrical Engineering, 99, pp:1-17.  

• P. Yuhuai et al., "Securing Radio Resources Allocation with Deep Reinforcement Learning for IoE Services in Next-generation Wireless Networks," in IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2022.3149750.

• M. Dibaei et al., "Investigating the Prospect of Leveraging Blockchain and Machine Learning to Secure Vehicular Networks: A Survey," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 683-700, Feb. 2022, doi: 10.1109/TITS.2020.3019101.

• Masood H, Zafar A, Ali MU, Hussain T, Khan MA, Tariq U, Damaševičius R. Tracking of a Fixed-Shape Moving Object Based on the Gradient Descent Method. Sensors. 2022; 22(3):1098. https://doi.org/10.3390/s22031098 

• Ahmad, AU Ishfaq, Xu, Sheng Jun, Khatoon, Amna, Tariq, Usman, Khan, Inayat, & ..., Sanam 2022, 'Analytical Study of Deep Learning-Based Preventive Measures of COVID-19 for Decision Making and Aggregation via the RISTECB Model', Scientific Programming, vol. 2022, pp. 1-17

• Afza F, Sharif M, Khan MA, Tariq U, Yong H-S, Cha J. Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine. Sensors. 2022; 22(3):799. https://doi.org/10.3390/s22030799 

• Jabeen, K.; Khan, M.A.; Alhaisoni, M.; Tariq, U.; Zhang, Y.-D.; Hamza, A.; Mickus, A.; Damaševičius, R. Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion. Sensors 2022, 22, 807. https://doi.org/10.3390/s22030807 

• Ashraf, A., Iqbal, Z., Khan, M.A. et al. Scalable offloading using machine learning methods for distributed multi-controller architecture of SDN networks. J Supercomput (2022). https://doi.org/10.1007/s11227-022-04313-w

• Awan, S., Mehmood, Z., Chaudhry, H. N., Tariq, U., Rehman, A. et al. (2022). Profiling Casualty Severity Levels of Road Accident Using Weighted Majority Voting. CMC-Computers, Materials & Continua, 71(3), 4609–4626. 

• Nawaz M, Nazir T, Javed A, Tariq U, Yong H-S, Khan MA, Cha J. An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization. Sensors. 2022; 22(2):434. https://doi.org/10.3390/s22020434  

• Ashraf, M., Hassan, S., Rubab, S., U. Tariq, et al. Energy-efficient dynamic channel allocation algorithm in wireless body area network. Environment, Development and Sustainability (2022). https://doi.org/10.1007/s10668-021-02037-0

• Bibi, A., Khan, M. A., Javed, M. Y., Tariq, U., Kang, B. et al. (2022). Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework. CMC-Computers, Materials & Continua, 71(2), 2477–2495.

• S. Liao, J. Wu, A. K. Bashir, W. Yang, J. Li and U. Tariq, "Digital Twin Consensus for Blockchain-Enabled Intelligent Transportation Systems in Smart Cities," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3134002.

• Yasmeen, U., Khan, M. A., Tariq, U., Khan, J. A., Asfand, M. et al. (2022). Citrus Diseases Recognition Using Deep Improved Genetic Algorithm. CMC-Computers, Materials & Continua, 71(2), 3667–3684.

• Majid, A., Khan, M. A., Alhaisoni, M., Asfand, M., Tariq, U. et al. (2022). An Integrated Deep Learning Framework for Fruits Diseases Classification. CMC-Computers, Materials & Continua, 71(1), 1387–1402. 

• Aamir, K. M., Ramzan, M., Skinadar, S., Khan, H. U., Tariq, U. et al. (2022). Automatic Heart Disease Detection by Classification of Ventricular Arrhythmias on ECG Using Machine Learning. CMC-Computers, Materials & Continua, 71(1), 17–33.

• Rehman, M. U., Ahmed, F., Khan, M. A., Tariq, U., Alfouzan, F. A. et al. (2022). Dynamic Hand Gesture Recognition Using 3D-CNN and LSTM Networks. CMC-Computers, Materials & Continua, 70(3), 4675–4690. 

• Khayam, K. N., Mehmood, Z., Chaudhry, H. N., Ashraf, M. U., Tariq, U. et al. (2022). Local-Tetra-Patterns for Face Recognition Encoded on Spatial Pyramid Matching. CMC-Computers, Materials & Continua, 70(3), 5039–5058. 

• Hanif, M. A., Akram, T., Shahzad, A., Khan, M. A., Tariq, U. et al. (2022). Smart Devices Based Multisensory Approach for Complex Human Activity Recognition. CMC-Computers, Materials & Continua, 70(2), 3221–3234.

• Raghuwanshi, G., Gupta, Y., Sinwar, D., Singh, D., Tariq, U. et al. (2022). Image Segmentation Based on Block Level and Hybrid Directional Local Extrema. CMC-Computers, Materials & Continua, 70(2), 3939–3954.

• K., Singla, J., Bashir, A. K., Nam, Y., Hasan, N. U. et al. (2022). Handling Class Imbalance in Online Transaction Fraud Detection. CMC-Computers, Materials & Continua, 70(2), 2861–2877.

• Hussain, N., Khan, M. A., Tariq, U., Kadry, S., Yar, M. E. et al. (2022). Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection. CMC-Computers, Materials & Continua, 70(2), 3281–3294.

• Khan, A., Khan, M. A., Javed, M. Y., Alhaisoni, M., Tariq, U. et al. (2022). Human Gait Recognition Using Deep Learning and Improved Ant Colony Optimization. CMC-Computers, Materials & Continua, 70(2), 2113–2130.

• Mehmood, A., Khan, M. A., Tariq, U., Jeong, C., Nam, Y. et al. (2022). Human Gait Recognition: A Deep Learning and Best Feature Selection Framework. CMC-Computers, Materials & Continua, 70(1), 343–360.

• Imran, T., Khan, M. A., Sharif, M., Tariq, U., Zhang, Y. et al. (2022). Malaria Blood Smear Classification Using Deep Learning and Best Features Selection. CMC-Computers, Materials & Continua, 70(1), 1875–1891.

• Masood, H., Zafar, A., Ali, M. U., Khan, M. A., Ahmed, S. et al. (2022). Recognition and Tracking of Objects in a Clustered Remote Scene Environment. CMC-Computers, Materials & Continua, 70(1), 1699–1719.

• Shah, F. A., Khan, M. A., Sharif, M., Tariq, U., Khan, A. et al. (2022). A Cascaded Design of Best Features Selection for Fruit Diseases Recognition. CMC-Computers, Materials & Continua, 70(1), 1491–1507.

• Zia, M., Ahmed, F., Khan, M. A., Tariq, U., Jamal, S. S. et al. (2022). Classification of Citrus Plant Diseases Using Deep Transfer Learning. CMC-Computers, Materials & Continua, 70(1), 1401–1417.

• Nusir, M., Tariq, U., & Ahanger, T. A. (2021). Engaging Diverse Stakeholders in Interdisciplinary Co-Design Project for Better Service Design. Journal of Cases on Information Technology (JCIT), 23(4), 1-29. http://doi.org/10.4018/JCIT.296253

• Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Junaid Ali Khan, Seungmin Rho, Seifedine Kadry, Venkatesan Rajinikanth, "A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images", Behavioural Neurology, vol. 2021, Article ID 2560388, 13 pages, 2021. https://doi.org/10.1155/2021/2560388 

• Arshad, M, Khan, MA, Tariq, U, Armghan, A, Alenezi, F, Javed, MY, Aslam, SM, & ... (2021). A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification. Computational Intelligence and Neuroscience, 2021, 1-15, https://doi.org/10.1155/2021/9619079  

•  Kumar, A., Rawat, J., Kumar, I., Rashid, M., Singh, K. U., Al-Otaibi, Y. D., & Tariq, U. (2021). Computer-aided deep learning model for identification of lymphoblast cell using microscopic leukocyte images. Expert Systems, e12894. https://doi.org/10.1111/exsy.12894

• Khan S, Khan MA, Alhaisoni M, Tariq U, Yong H-S, Armghan A, Alenezi F. Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion. Sensors. 2021; 21(23):7941. https://doi.org/10.3390/s21237941

• Khan MA, Rajinikanth V, Satapathy SC, Taniar D, Mohanty JR, Tariq U, Damaševičius R. VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images. Diagnostics. 2021; 11(12):2208. https://doi.org/10.3390/diagnostics11122208

• Khan MA, Alhaisoni M, Tariq, U., Hussain N, Majid A, Damaševičius R, Maskeliūnas R. COVID-19 Case Recognition from Chest CT Images by Deep Learning, Entropy-Controlled Firefly Optimization, and Parallel Feature Fusion. Sensors. 2021; 21(21):7286. https://doi.org/10.3390/s21217286

• Saleem, F.; Khan, M.A.; Alhaisoni, M.; Tariq, U.; Armghan, A.; Alenezi, F.; Choi, J.-I.; Kadry, S. Human Gait Recognition: A Single Stream Optimal Deep Learning Features Fusion. Sensors 2021, 21, 7584. https://doi.org/10.3390/s21227584 

• Mohsin, M.; Latif, S.; Haneef, M.; Tariq, U.; Khan, M.A.; Kadry, S.; Yong, H.-S.; Choi, J.-I. Improved Text Summarization of News Articles Using GA-HC and PSO-HC. Appl. Sci. 2021, 11, 10511. https://doi.org/10.3390/app112210511 

• Yi, S. U. N., Jie, L. I. U., Bashir, A. K., Tariq, U., ZHANG, Y., & Wei, L. I. U. (2021). E-CIS: Edge-based Classifier Identification Scheme in Green & Sustainable IoT Smart City. Sustainable Cities and Society, 103312.

• Sun, Y., Bashir, A. K., Tariq, U., & Xiao, F. (2021). Effective malware detection scheme based on classified behavior graph in IIoT. Ad Hoc Networks, 102558.

• Hassan, M.A., Khan, M.U.G., Iqbal, R. et al. Predicting humans future motion trajectories in video streams using generative adversarial network. Multimed Tools Appl (2021). https://doi.org/10.1007/s11042-021-11457-z 

• Hussain, N, Khan, MA, Kadry, S, Tariq, U, Mostaf, RR, Choi, JI, & Nam, Y (2021). Intelligent Deep Learning and Improved Whale Optimization Algorithm Based Framework for Object Recognition. Human-centric Computing and Information Sciences, 11, 1-18

• More, S, Singla, J, Song, OY, Tariq, U, & Malebary, S (2021). Denoising Medical Images Using Deep Learning in IoT Environment. CMC-Computers, Materials & Continua, 69(3), 3127-3143

• Kiran, S, Khan, MA, Javed, MY, Alhaisoni, M, Tariq, U, Nam, Y, & ... (2021). Multi-Layered Deep Learning Features Fusion for Human Action Recognition. CMC-Computers, Materials & Continua, 69(3), 4061-4075 

•  Latif, MR, Khan, MA, Javed, MY, Masood, H, Tariq, U, Nam, Y, & Kadry, S (2021). Cotton Leaf Diseases Recognition Using Deep Learning and Genetic Algorithm. CMC-Computers, Materials & Continua, 69(3), 2917-2932 

• Liu, Q, Hou, L, Shaukat, S, Tariq, U, Riaz, R, & Rizvi, SS (2021). Perceptions of spatial patterns of visitors in urban green spaces for the sustainability of smart city. International Journal of Distributed Sensor Networks, 17(8), 2147483647

• Dibaei, M, Zheng, X, Xia, Y, Xu, X, Jolfaei, A, Bashir, AK, Tariq, U, Yu, D, ... (2021) Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: a survey. IEEE Transactions on Intelligent Transportation Systems pp. 1-18

• A. Rehman, T. Sadad, T. Saba, A. Hussain and U. Tariq, "Real-Time Diagnosis System of COVID-19 Using X-Ray Images and Deep Learning," in IT Professional, vol. 23, no. 4, pp. 57-62, 1 July-Aug. 2021, doi: 10.1109/MITP.2020.3042379. 

• Ansari, G Jillani, HussainShah, J, Khan, M Attique, Sharif, M, Tariq, U, & ... 2021, 'A Non-Blind Deconvolution Semi Pipelined Approach to Understand Text in Blurry Natural Images for Edge Intelligence', Information Processing & Management, vol. 58, no. 6, p. 19

• Khan, ZA, Karim, OA, Abbas, S, Javaid, N, Zikria, Y bin, & Tariq, U (2021). Q-learning based energy-efficient and void avoidance routing protocol for underwater acoustic sensor networks. Computer Networks, 108309 

• Aziz, A, Attique, M, Tariq, U, Nam, Y, Nazir, M, Jeong, CW, Mostafa, RR, & ... (2021). An Ensemble of Optimal Deep Learning Features for Brain Tumor Classification. Computers, Materials and Continua, 69(2), 2653-2670 

• Nawaz, M, Mehmood, Z, Nazir, T, Masood, M, Tariq, U, Mehmood, AM, & ... (2021). Image Authenticity Detection Using DWT and Circular Block-Based LTrP Features. Computers, Materials & Continua, 69(2), 1927-1944 

• Arul, R, Alroobaea, R, Mechti, S, Rubaiee, S, Andejany, M, Tariq, U, & Iftikhar, S (2021). Intelligent data analytics in energy optimization for the internet of underwater things. Soft Computing, 1-13. https://doi.org/10.1007/s00500-021-06002-x 

• A. Rehman, T. Saba, U. Tariq and N. Ayesha, "Deep Learning-Based COVID-19 Detection Using CT and X-Ray Images: Current Analytics and Comparisons," in IT Professional, vol. 23, no. 3, pp. 63-68, 1 May-June 2021, doi: 10.1109/MITP.2020.3036820.

• T. Saba, K. Haseeb, A. A. Shah, A. Rehman, U. Tariq and Z. Mehmood, "A Machine-Learning-Based Approach for Autonomous IoT Security," in IT Professional, vol. 23, no. 3, pp. 69-75, 1 May-June 2021, doi: 10.1109/MITP.2020.3031358.

• Ahanger, T.A., Tariq, U., Nusir, M. et al. A novel IoT–fog–cloud-based healthcare system for monitoring and predicting COVID-19 outspread. Journal Of Supercomputing (2021). https://doi.org/10.1007/s11227-021-03935-w 

• Arul, R, Alroobaea, R, Tariq, U, Almulihi, AH, Alharithi, FS, & Shoaib, U (2021). IoT-enabled healthcare systems using block chain-dependent adaptable services. Personal and Ubiquitous Computing, 1-15. doi:10.1007/s00779-021-01584-7 

• Ibrahim, A, Gebali, F, Bouteraa, Y, Tariq, U, Ahanger, T, & Alnowaiser, K (2021). Compact Bit-Parallel Systolic Multiplier Over GF(2m). IEEE Canadian Journal of Electrical and Computer Engineering, 44(2), 199-205

• Li, Q, Meng, S, Sang, X, Zhang, H, Wang, S, Bashir, AK, Yu, K, & Tariq, U (2021). Dynamic Scheduling Algorithm in Cyber Mimic Defense Architecture of Volunteer Computing. ACM Transactions on Internet Technology, 21(3), 1-33

• A. Majid, M. A. Khan, Y. Nam, U. Tariq, S. Roy et al., "Covid19 classification using ct images via ensembles of deep learning models," Computers, Materials & Continua, vol. 69, no.1, pp. 319–337, 2021.  

• J. Naz, M. A. Khan, M. Alhaisoni, O. Song, U. Tariq et al., "Segmentation and classification of stomach abnormalities using deep learning," Computers, Materials & Continua, vol. 69, no.1, pp. 607–625, 2021. 

• A Rehman, K Haseeb, T Saba, J Lloret and U Tariq, "Secured Big Data Analytics for Decision-Oriented Medical System Using Internet of Things", Electronics 10, no.11 (2021): 1-13

• M Tanveer, T Shah, A Rehman, A Ali, GF Siddiqui, T Saba and U Tariq, "Multi-Images Encryption Scheme Based on 3D Chaotic Map and Substitution Box", IEEE Access 9, (2021): 73924-73937

• AR Khan, F Doosti, M Karimi, M Harouni, U Tariq, SM Fati and SA Bahaj, "Authentication through gender classification from iris images using support vector machine", Microscopy Research and Technique (MRT) (2021): 1-14

• Amin, J, Anjum, MA, Sharif, M, Saba, T, & Tariq, U (2021). An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach. Microscopy Research and Technique, 14, https://doi.org/10.1002/jemt.23779 

• Sarwar, A, Javed, K, Khan, MJ, Rubab, S, Song, OY, & Tariq, U (2021). Enhanced Accuracy for Motor Imagery Detection Using Deep Learning for BCI. Computers, Materials & Continua, 68(3), 3825-3840

• Khan, MA, Alhaisoni, M, Armghan, A, Alenezi, F, Tariq, U, Nam, Y, & Akram, T (2021). Video Analytics Framework for Human Action Recognition. Computers, Materials & Continua, 68(3), 3841-3859, doi:10.32604/cmc.2021.016864 

• Sadad, T, Khan, AR, Hussain, A, Tariq, U, Fati, SM, Bahaj, SA, & Munir, A (2021). Internet of medical things embedding deep learning with data augmentation for mammogram density classification. Microscopy Research and Technique (MRT), published: 27 April 2021, https://doi.org/10.1002/jemt.23773   

• Abirami, RN, Vincent, PMDR, Srinivasan, K, Tariq, U, & Chang, CY (2021). Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis. Complexity, 2021, 1-30 

• M. Usman, Z. Naz, J. Khan, T. Saba, I. Abunadi et al., "Cognitive skill enhancement system using neuro-feedback for adhd patients," Computers, Materials & Continua, vol. 68, no.2, pp. 2363–2376, 2021. doi:10.32604/cmc.2021.014550 

• M. S. Khan, A. Anjum, T. Saba, A. Rehman and U. Tariq, "Improved Generalization for Secure Personal Data Publishing Using Deviation," in IT Professional, vol. 23, no. 2, pp. 75-80, 1 March-April 2021, doi: 10.1109/MITP.2020.3030323.

• S. Anbalagan et al., "Machine Learning-based Efficient and Secure RSU Placement Mechanism for Software Defined-IoV," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3069642. 

• Usman Tariq et al. A Pervasive Computational Intelligence based Cognitive Security Co-design Framework for Hype-connected Embedded Industrial IoT. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 16, n. 2, mar. 2021. ISSN 1841-9844. https://doi.org/10.15837/ijccc.2021.2.4029  

• Munish Bhatia, Tariq Ahamed Ahanger, Usman Tariq, Atef Ibrahim, “Cognitive intelligence in fog computing-inspired veterinary healthcare”, Computers & Electrical Engineering, 2021, https://doi.org/10.1016/j.compeleceng.2021.107061  

• Arul, R., Al-Otaibi, Y.D., Alnumay, W.S., Usman Tariq, et al. Multi-modal secure healthcare data dissemination framework using blockchain in IoMT. Pers Ubiquit Comput (2021). https://doi.org/10.1007/s00779-021-01527-2 

• Abbas, A., Krichen, M., Alroobaea, R., Usman Tariq, et al. An opportunistic data dissemination for autonomous vehicles communication. Soft Comput (2021). https://doi.org/10.1007/s00500-020-05542-y 

• Sarang Karim, Faisal Karim Shaikh, Bhawani Shankar Chowdhry, Zahid Mehmood, Usman Tariq, Rizwan Ali Naqvi, Adnan Ahmed, "GCORP: Geographic and Cooperative Opportunistic Routing Protocol for Underwater Sensor Networks," in IEEE Access, doi: 10.1109/ACCESS.2021.3058600. 

• Saqib Iqbal, Ghazanfar Farooq Siddiqui, Amjad Rehman, Lal Hussain, Tanzila Saba, Usman Tariq, Adeel Ahmed Abbasi, "Prostate Cancer Detection using Deep Learning and Traditional Techniques," in IEEE Access, doi: 10.1109/ACCESS.2021.3057654.

• Rabia Javed, Mohd Shafry Mohd Rahim, Tanzila Saba, Suliman Mohamed Fati, Usman Tariq, "Statistical histogram decision based contrast categorization of skin lesion datasets dermoscopic images," Computers, Materials & Continua, vol. 67, no.2, pp. 2337–2352, 2021.

• Ahmed M. Elmogy, Usman Tariq, Ammar Mohammed and Atef Ibrahim, “Fake Reviews Detection using Supervised Machine Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 12(1), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120169

• Tariq Sadad, Amjad Rehman, Asim Munir, Tanzila Saba, Usman Tariq, Noor Ayesha, Rashid Abbasi. "Brain tumor detection and multi‐classification using advanced deep learning techniques". Microsc Res Tech. 2021; 1– 13. https://doi.org/10.1002/jemt.23688

• Haseeb, K.; Islam, N.; Javed, Y.; Tariq, U. A Lightweight Secure and Energy-Efficient Fog-Based Routing Protocol for Constraint Sensors Network. Energies 2021, 14, 89. https://doi.org/10.3390/en14010089  

• S, V., A, J., R, S., Mohan, S., Bhattacharya, S., Kaluri, R., Feng, G., & Tariq, U. (2020). Multi-modal prediction of breast cancer using particle swarm optimization with non-dominating sorting. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/1550147720971505 

• Khan, M.U., Javed, A.R., Ihsan, M., U. Tariq, et al. A novel category detection of social media reviews in the restaurant industry. Multimedia Systems (2020). https://doi.org/10.1007/s00530-020-00704-2  

• Usman Tariq, A. O. Aseeri, M. S. Alkatheiri and Y. Zhuang, "Context-aware autonomous security assertion for Industrial IoT," in IEEE Access, doi: 10.1109/ACCESS.2020.3032436. 

• Jianhui Wang, Keyi Wan, Xu Gao, Xuhong Cheng, Yu Shen, Zheng Wen, Usman Tariq, Md. Jalil Piran. "Energy and Materials-Saving Management via Deep Learning for Wastewater Treatment Plants," in IEEE Access, doi: 10.1109/ACCESS.2020.3032531. 

• G, T.R., Bhattacharya, S., Maddikunta, P.K.R., Usman Tariq,  et al. Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset. Multimed Tools Appl (2020). https://doi.org/10.1007/s11042-020-09988-y 

• Bhattacharya, S, S, SR, M, PKR, Kaluri, R, Singh, S, G, TR, Alazab, M, & Tariq, U (2020). A Novel PCA-Firefly based XGBoost classification model for Intrusion Detection in Networks using GPU. Electronics, 9(2), 17

• Majid, A, Khan, MA, Yasmin, M, Rehman, A, Yousafzai, A, & Tariq, U (2020). Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection. Microscopy Research and Technique (MRT), 15

• Joshi, GP, Perumal, E, Shankar, K, Tariq, U, Ahmad, T, & Ibrahim, A (2020). Toward Blockchain-Enabled Privacy-Preserving Data Transmission in Cluster-Based Vehicular Networks. Electronics, 9, 1358

• Deepa, N., B. Prabadev, P. M. Kumar Reddy, G. Thippa Reddy, T. Baker, A. M. Khan, and U. Tariq. "An AI-based Intelligent System for Healthcare Analysis Using Ridge–Adaline Stochastic Gradient Descent Classifier." Journal of Supercomputing (2020).

• Usman Sarwar, M, Rehman Javed, A, Kulsoom, F, Khan, S, Tariq, U, Kashif Bashir, A. PARCIV: Recognizing physical activities having complex interclass variations using semantic data of smartphone. Softw Pract Exper. 2020; 1– 18. https://doi.org/10.1002/spe.2846

• Campioni, Fabio, Salimur Choudhury, Usman Tariq, and Ali Kashif Bashir. "Recruitment algorithms for vehicular sensor networks." Computer Communications (2020).

• Majid, A, Khan, MA, Yasmin, M, Rehman, A, Yousafzai, A, Tariq, U. Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection. Microsc Res Tech. 2020; 1– 15. https://doi.org/10.1002/jemt.23447

• Bhattacharya, S.; S, S.R.; M, P.K.R.; Kaluri, R.; Singh, S.; G, T.R.; Alazab, M.; Tariq, U. A Novel PCA-Firefly based XGBoost classification model for Intrusion Detection in Networks using GPU. Electronics 2020, 9, 219.  https://doi.org/10.3390/electronics9020219

• Tariq, Usman; Ibrahim, Atef; Ahanger, Tariq; Bouteraa, Yassine; Elmogy, Ahmed: 'Blockchain in IoT: a necessity framework for security, reliability, transparency, immutability and liability', IET Communications, 2019, DOI: 10.1049/iet-com.2019.0194 IET Digital Library, https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0194

• Usman Tariq, “Intrusion Detection and Anticipation System (IDAS) for IEEE 802.15.4 Devices”, Intelligent Automation & Soft Computing (AUTOSOFT) Journal, 06/2019, DOI: 10.31209/2018.100000040, Impact Factor: 0.6

• Ibrahim, A., Tariq, U., Ahmad, T., Elmogy, A., Bouteraa, Y. and Gebali, F., 2019. Efficient Parallel Semi-Systolic Array Structure for Multiplication and Squaring in GF (2m). IEICE Electronics Express, pp.16-20190268.

• Tariq Ahamed Ahanger, Usman Tariq, Muneer Nusir,"Mobility of Internet of Things and Fog Computing: Serious Concerns and Future Paths”. International Journal of Communication Networks and Information Security, Vol. 10, No. 3, December 2018.

• Usman Tariq, Abdulaziz Aldaej, “Outlook of Coordinated Transmission Control in 5G Networks for IoTs’, International Journal of Computers Communications & Control, Vol. 13 No. 2, April 2018

• Usman Tariq, “Security Prospect of Healthcare in IoT arena”, International Journal of Computer Science and Network Security, VOL.18 No.01, January 2018

• Mustafa Al-Fayoumi, Yasir Ahmad and Usman Tariq, “A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks” International Journal of Advanced Computer Science and Applications (IJACSA), 7(12), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071207 

• Usman Tariq, (2016). A Review of Scenarios and Enabling Technology Directions for 5G Wireless Communications. Indian Journal of Science and Technology, 9(4), 1–5. doi:10.17485/ijst/2016/v9i4/80420, ISSN (Print) : 0974-6846, ISSN (Online) : 0974-5645

• Usman Tariq, "Low Latency Adversarial Transmission Control in 5G Networks for IoTs: Detection, equalization, synchronization, estimation", Ubiquitous Computing and Communication Journal, ISSN 1992-8424, 2016

• Usman Tariq, Abdullah Al Jumah, Mustafa Al-Fayoumi, “End-to-End Route Reliability in Pervasive Multi-Channel Multi-Radio (PMCMR) Scheme for MANETS”, Journal of Applied Sciences, [ISSN # 1812-5654], 2015

• Usman Tariq, " Envisioning the Future Security Framework for 5G enabler Technologies", Ubiquitous Computing and Communication Journal, ISSN 1992-8424, 2015

• Junaid Ahsenali Chaudhry, Usman Tariq, Mohammed Arif Amin, Robert G. Rittenhouse, “Sinkhole Vulnerabilities in Wireless Sensor Networks”, International Journal of Security and Its Applications, 2014

• Yanji Piao, JongUK Kim, Usman Tariq, Manpyo Hong, “Polynomial-based Key Management for Secure Intra-group and Inter-group Communication”, in Computers & Mathematics with Applications (CMA) Journal – Elsevier, [ISSN # 0898-1221] - Impact Factor: 1.532, 2012, http://dx.doi.org/10.1016/j.camwa.2012.02.008  

• Yasir Malik, Kishwer Abdul Khaliq, Bessam Abdulrazak and Usman Tariq, “Mobile Node Localization in Cellular Networks“. International Journal of Wireless & Mobile Networks (IJWMN) (ISSN:0975-3834 (Online); 0975-4679 (Print)), PP: 91-100, 2011

• Usman Tariq, ManPyo Hong, “Light weight majority voting based data accuracy assurance scheme for wireless sensor networks using quad tree topology” Autosoft Journal [ISSN # 1079-8587] - Impact Factor: 0.187, 2005

• Yonhee Park, Usman Tariq, ManPyo Hong, “Distributed Worm Detection and Prevention Model with Light-Weight Agent”, Journal of Korean Institute of Information Scientists and Engineers [KIISE] [ISSN # 1229-7712] - Impact Factor: 0.451, 2005

• Usman Tariq, ManPyo Hong, Kyung-suk Lhee, “A Comprehensive Categorization of DDoS Attack and DDoS Defense Techniques”, Lecture Notes in Computer Science, [ISSN # 0302-9743] - Impact Factor: 0.302, 2004

Selected Conference Publications

• Usman Tariq, “Security-Aware Malicious Event Detection using Multivariate Deep Regression Setup for Vehicular Ad hoc Network Aimed at Autonomous Transportation System”, in proceedings of International Conference on Wireless Communications Signal Processing and Networking Virtual Conference, IEEE, 24-26 March 2022

• T. A. Ahanger, U. Tariq and M. Nusir, "Real-Time Methodology for Improving Cyber Security in Internet of Things Using Edge Computing During Attack Threats," 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2019, pp. 293-297. doi: 10.1109/ICSSIT46314.2019.8987779

• Abdulaziz Aldaej, Usman Tariq, "IoT in 5G aeon: an inevitable fortuity of cloud provisioned healthcare", in proceedings of International conference on Computer Applications & Information Security, ICCAIS. 04-06 April, 2018 Riyadh, Saudi Arabia, https://ieeexplore.ieee.org/document/8441986/

• Yanji Piao, JongUK Kim, Usman Tariq, Manpyo Hong, “Polynomial-based Key Management for Secure Intra-group and Inter-group Communication”,  In the proceedings of 2011 FTRA International Symposium on Advances in Cryptography, Korea

• Usman Tariq, Yasir Malik, Bessam Abdulrazak, ManPyo Hong, “Collaborative Peer to Peer Defense Mechanism for DDoS Attacks”, In the proceedings of  The 2nd International Conference on Ambient Systems, Networks and Technologies., 19 September 2011

• Usman Tariq, Yasir Malik, ManPong, Bessam Abdulrazak, “A Secure Witness Based Approach to Combat Malicious Packets in Wireless Sensor Network“, In the proceedings of  The 2011 International Conference on Security and Management (SAM’11)

• Usman Tariq, Kyung-suk Lhee, ManPyo Hong, "A Quadtree Based Data Accuracy Scheme for Wireless Sensor Networks", IEEE and International Conference on Convergence Information Technology, South Korea, 2007

• Irfan Ahmed, Usman Tariq, Shoaib Mukhtar, Kyung-suk Lhee, S.W. Yoo, Piao Yanji, ManPyo Hong, "Binding Update Authentication Scheme for Mobile IPv6", IEEE Computer Society and The Third International Symposium on Information Assurance and Security, 2007, United Kingdom

• Usman Tariq, ManPyo Hong, Kyung-suk Lhee “PMS an expeditious marking scheme to combat with the DDoS attack”, 9th IEEE International Multi topic Conference (INMIC’05), December 2005, Pakistan

• Usman Tariq, Yasir Naveed, ManPyo Hong, “NACS: Non-Overlapping AP’s caching scheme to reduce handoff in 802.11 wireless LAN”, IEEE MICC-ICON 2005 Conference, 2005, Malaysia.

• Usman Tariq, ManPyo Hong, Wonil Kim “Quick Fix, an expeditious approach to diminish SPAM”, 9th IEEE International Multi topic Conference (INMIC’05), December 2005, Pakistan.

• Usman Tariq, ManPyo Hong, Kyung-suk Lhee “X-PMS Detector, a trust worthy marking scheme to diminish DDoS attacks”, Next Generation PC 2005 International Conference, 2005, South Korea.

Technical Reports

• Usman Tariq, “Design of performance aware routing metric for multi-channel multi-radio Wireless Mesh Networks”, October 2012

• Usman Tariq, and Waleed Mohamad Abdo Rashideh, “Context aware pervasive learning environments for elderly people with special needs”, September 2012

• Usman Tariq. “Distributed Denial of Service Attacks and Defense strategies for large scale networks”, December 2006

• Usman Tariq, “Analysis of E-mail Fraud Challenges”, April, 2005