Publications

Recent Publications

[J17] Rati Bhan, Parvez Faruki, Rajendra Pamula. 2023.  "Detection of Sensitive Malicious Android Functionalities using Inter-component Control-flow Analysis ", in IEEE Access (Q1, IF:3.9, 5Y IF 4.1), DOI: 10.1109/ACCESS.2023.3321383 

[J16] Faruki, Parvez, Rati Bhan, Vinesh Jain, Sajal Bhatia, Nour El Madhoun, and Rajendra Pamula. 2023. "A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks" Information 14, no. 7: 374. (Q2, IF: 3.1, 5Y IF 2.9).1https://doi.org/10.3390/info14070374.

[J15] Rati Bhan, Rajendra Pamula, Parvez Faruki & Jyoti Gajrani. “Blockchain-enabled secure and efficient data sharing scheme for trust management in healthcare smartphone network”, In the Journal of Supercomputing (2023), Springer, DOI: https://doi.org/10.1007/s11227-023-05272-6.

[J14] Mohit Singh, Vijay Laxmi, Parvez Faruki, “Dense Spatially-weighted attentive Residual-Haze Network for Image Dehazing., Springer, Applied Intelligence  (2022). https://doi.org/10.1007/s10489-022-03168-1 (Q1, IF: 5.086)

[J13] Vinesh Kumar Jain, Arka Prokash Mazumdar, Parvez Faruki & Mahesh Chandra Govil, “Congestion control in Internet of Things: Classification, challenges, and future directions”, in Elsevier Sustainable Computing: Informatics and Systems (SUSCOM), Volume 35, September 2022, 100678, https://doi.org/10.1016/j.suscom.2022.100678 (Q1, JCR IF: 4.02)

[J12] Mohamed El-Zawawy, Parvez Faruki, & Mauro Conti, “Formal model for inter-component communication and its security in Android”. In Springer, Computing 104, 1839–1865 (2022). https://doi.org/10.1007/s00607-022-01069-2 (Q1, JCR IF: 2.420).

[J11] Bharat Buddhadev, Parvez Faruki, Manoj Singh Gaur and Akka Zemmari. 2022. “FloVasion: Towards Detection of non-sensitive variable based Evasive Information –Flow Detection in Android Apps”, In IETE Journal of Research, Taylor and Francis.

[J10] Tanya Gera, Jaiteg Singh, Parvez Faruki, Deepak Thakur. 2022. Efficacy of Android security mechanisms on ransomware analysis and detection.

[C19] Deepak Thakur, Jaiteg Singh, Parvez Faruki, Tanya Gera. 2022. Android malware classification using feature fusion and AdaBoost learning.

[J9] Mohit Singh, Vijay Laxmi, Parvez Faruki, “Visibility enhancement and dehazing: Research contribution challenges and directions”. In Elsevier Computer Science Review Volume 44, May 2022, 100473, https://doi.org/10.1016/j.cosrev.2022.100473 (Q1, JCR IF: 7.8)

[J8] Mohit Singh, Vijay laxmi, Parvez Faruki. 2021. Visibility Enhancement in Surveillance images using Deep Multi-scale Feature Fusion.

[J7] Tanya Gera, Jaiteg Singh, Deepak Thakur, Parvez Faruki. 2021. A semi-automated approach for identification of trends in android ransomware literature.

Journal(s)

[J6] Jay Dave, Parvez Faruki, Vijay Laxmi, Akka Zemmari, Manoj Singh Gaur and Mauro Conti. “SPARK: Secure Pseudorandom Key-based Encryption for Deduplicated Storage”, Elsevier Computer Communications (COMCOM), Volume 154, 15 March 2020, Pages 148-159 (Q1, if: 6.0)

[J5] Parvez Faruki, Vijay Laxmi, Ammar Bharmal, M.S. Gaur, Vijay Ganmoor, AndroSimilar: Robust signature for detecting variants of Android malware, Journal of Information Security and Applications, Elsevier Journal of Information Security and Assurance, Elsevier, ISSN 2214-2126. (Q1, IF 4.96)

[J4] Nadia Chaabouni, Mohamed Mosbah, Akka Zemmari, Parvez Faruki and Cyrille Sauvignac. “Network Intrusion Detection for IoT Security based on Learning Techniques”. In (IEEE) Communications Surveys and Tutorials, Volume 21, Issue 3, third quarter 2019, pages:2671-2701. (JCR IF 2022: 33.84)

[J3] Bharat Buddhadev, Parvez Faruki, Manoj Singh Gaur and Akka Zemmari. “FloVasion: Towards Detection of non-sensitive variable based Evasive Information –Flow Detection in Android Apps”, In IETE Journal of Research, Taylor and Francis. (Q1, JCR IF: 1.877)

[J2] Parvez Faruki, Ammar Bharmal, Vijay Laxmi, Vijay Ganmoor, Manoj Singh Gaur, Mauro Conti, Muttukrishnan Rajarajan. “Android Security: A Survey of Issues, Malware Penetration and Defenses”. In (IEEE) Communications Surveys and Tutorials, Volume 17 (2), second quarter 2015, pages:998-1022. doi={10.1109/COMST.2014.2386139}, ISSN={1553-877X} (q1 IF 2016: 29.88)

[J1] Parvez Faruki, Hossein Fareidooni, Vijay Laxmi, Manoj Gaur, and Mauro Conti. “Android Code Protection via Obfuscation Techniques: Past, Present and Future Directions”, In ACM Computing Surveys and Tutorials. (Q1, JCR IF: 8.9)

Book(s) Edited (BE), Chapter (BC), Magazine articles

[BE.3] R. Sridaran, Parvez Faruki & Kalpesh Popat. “Advancements in Smart Computing and Information Security, First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Springer Revised Selected Papers, Part II

[BE.2] R. Sridaran, Parvez Faruki & Kalpesh Popat. “Advancements in Smart Computing and Information Security, First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Springer Revised Selected Papers, Part I

[BE.1]Sukumar Nandi, Devesh Jinwala, Virendra Singh, Vijay Laxmi, Manoj Singh Gaur and Parvez Faruki. Springer “Security & Privacy”, Second ISEA International Conference, ISEA-ISAP 2018, Jaipur, India, January, 9–11, 2019, Revised Selected Papers

[BC.2] Jay Dave, Parvez Faruki, Vijay Laxmi and Manoj Singh Gaur. “Security of Deduplicated Cloud Storage”, In Information Security Education Awareness ‘InfoSec’ Annual Magazine 2019, page 21-25, CDAC Hyderabad, India.

[BC.1] Parvez Faruki, Vijay Laxmi, Manoj Gaur, Shweta Bhandari, and Mauro Conti. “DroidAnalyst: Synergic App framework for Static and Dynamic AppAnalysis”, Recent Advances in Computational Intelligence in Defense and Security, Studies in Computational Intelligence 621, DOI 10.1007/978-3-319-26450-9_20, Ottawa Section, Canada.

Conference Publications

[C18] Tanya Gera, Jaiteg Singh, Deepak Thakur & Parvez Faruki, A Semi-automated Approach for Identification of Trends in Android Ransomware Literature, in International Conference on Machine Learning for Networking (MLN 2020), pp 265–283, Lecture Notes in Computer Science book series (LNISA,volume 12629), DOI: 10.1007/978-3-030-70866-5_18

[C17] Mohit Singh, Vijay Laxmi, Parvez Faruki, Visibility Enhancement in Surveillance images using Deep Multi-scale Feature Fusion, 4th International Conference on Security and Privacy (ISEA-ISAP), 27-30 Oct. 2021, DOI: 10.1109/ISEA-ISAP54304.2021

[C16] Deepak Thakur, Jaiteg Singh, Parvez Faruki, and Tanya Gera, Android malware classification using feature fusion and AdaBoost learning in AIP Conference Proceedings 2357, 100013 (2022); https://doi.org/10.1063/5.0080927

[C15] Tanya Gera, Jaiteg Singh, Parvez Faruki, and Deepak Thakur, Efficacy of Android security mechanisms on ransomware analysis and detection AIP Conference Proceedings 2357, 040007 (2022); https://doi.org/10.1063/5.0080931

[C14] Parvez Faruki, Akka Zemmari, Bhavya Shah, Bharat Buddhadev, Vijay Laxmi, and M. S. Gaur, “DroidDivesDeep: Android Malware Classification via Low Level Monitorable Features with Deep Neural Networks”, In 2nd ISEA International Conference on Security and Privacy (ISEA-ISAP 2018), MNIT Jaipur, India, January 9-11, 2019, Springer CCIS.

[C13] Jay Dave, Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur. “Bloom Filter based Privacy Preserving Deduplication System”, In 2nd ISEA International Conference on Security and Privacy (ISEA-ISAP 2018), MNIT Jaipur, India, January 9-11, 2019, Springer CCIS.

[C12] Jay Dave, Shweta Saharan, Parvez Faruki, Vijay Laxmi and Manoj Singh Gaur. “Secure Random Encryption for Deduplicated Cloud Storage”, In 13th International Conference on Information System and Security (ICISS 2017), IIT Mumbai, India, December 16-20 2017.

[C11] Jay Dave, Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur and Bruhudeshwar Bezawada. “Secure and Efficient Proof of Ownership for Deduplication Cloud Storage”, In 10th ACM International Conference on Security of Information and Networks, Manipal University Jaipur, October 13-15 2017, ACM SIGSAC.

[C120 Parvez Faruki, Akka Zemmari, Manoj Singh Gaur, Vijay Laxmi and Mauro Conti. “mimeoDroid: Large Scale dynamic App Analysis on Cloned Devices via Machine Learning Classifiers”, 3rd International Workshop on Reliability and Security Data Analysis (RSDA 2016), In the proceedings of the 46th IEEE/IFIP International Conference on Dependable Systems and Networks, Tolouse France, June 28- July 1st 2016.

[C9] Bharat Buddhadev, Parvez Faruki, Manoj Singh Gaur, Vijay Laxmi “Android component vulnerabities: Proof of concepts and mitigation”, 31st IEEE International Conference on Information Networking (ICOIN), Kota Kinabalu, January 13-15, 2016.

[C8] Lovely Sinha, Shweta Bhandari, Parvez Faruki, Vijay Laxmi, Manoj Gaur and Mauro Conti. “FlowMine: Android App Analysis via Data Flow”. In 13thAnnual IEEE Consumer Communications & Networking Conference, 9-12 January 2016, Las Vegas USA.

[C7] Parvez Faruki, Ammar Bharmal, Vijay Laxmi, Manoj Singh Gaur, Mauro Conti, and Muttukrishnan Rajarajan. "Evaluation of Android anti-malware techniques against Dalvik bytecode obfuscation". In 13th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2014, Beijing, China, September 24-26, 2014, pages 414–421. (Category A Conference)

[C6] Parvez Faruki, Vijay Ganmoor, Vijay Laxmi, Manoj Gaur, and Mauro Conti. "Android Platform Invariant Sandbox for Analyzing Malware and Resource Hogger apps", In Proceedings of the 10th IEEE International Conference on Security and Privacy in Communication Networks (SecureComm 2014), Beijing China, 26-28 September 2014. (Category A Conference)

[C5] Parvez Faruki, Vijay Ganmoor, Vijay Laxmi, Manoj Gaur, and Ammar Bharmal. "Androsimilar: Robust statistical feature signature for android malware detection", In Proceedings of the 6th International Conference on Security of Information and Networks, SIN ’13, pages 152–159, New York, NY, USA, 2013. ACM. (Category B Conference)

[C4] Parvez Faruki, M.S. Gaur, Vijay Ganmoor, Ammar Bharmal and Vijay Laxmi, “Machine Learning Approach Based on Code Similarity to Detect Unknown Malicious Samples”, In IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions , IIT Kanpur, India, pp. 208-213, July 2013.

[C3] Vijay Laxmi, Deepanshu Mehta, Manoj Singh Gaur, Parvez Faruki, Chhagan Lal: Impact analysis of JellyFish attack on TCP-based mobile ad-hoc networks. SIN 2013: 189-195, 6th International Conference on Security of Information and Networks, Aksaray, Turkey, 26-28 November 2013, ACM-SIGSAC.

[C2] Parvez Faruki, Vijay Laxmi, Vijay Ganmoor, Manoj Singh Gaur, Ammar Bharmal: DroidOLytics: Robust Feature Signature for Repackaged Android Apps on Official and Third Party Android Markets. ADCONS 2013, pp-247-252, ADCONS 2013, 15-18 December 2013 NITK Surathkal.

[C1] Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod: Behavioural detection with API call-grams to identify malicious PE files. International Conference on Security of Internet of Things (SECURIT '12), pp 85-91, Kollam, India — August 17 - 19, 2012.

Posters

[P1] Parvez Faruki, Vijay Laxmi, Manoj Singh Gaur, P. Vinod, “Control Flow Graph as Signature to Detect Portable Executable Malware”, Poster, 2nd Security Symposium, February 28-March 2, 2013, IIT Kanpur. (Best Poster Award, 49 submissions).

[P2] Bharat Buddhadev, Ankit Pulkit, Vijay Laxmi, Parvez Faruki, "A Covert Channel Attack using sound beeps in Android", In 2nd ISEA International Conference on Security and Privacy (ISEA-ISAP 2018), MNIT Jaipur, India, January 9-11, 2019.

[P3] Tanya Gera, Parvez Faruki, Jaiteg Singh, Deepak Thakur, "A Hybrid Solution for Android Ransomware Detection", Best Poster Award, In 2nd International Conference on SMART IoT SYSTEMS: INNOVATIONS IN COMPUTING (SSIC 2019) JANUARY 18-20, 2019, MANIPAL UNIVERSITY, JAIPUR. (Best Poster Award SSIC 2019)

[P4] Deepak Thakur, Jaiteg Singh, Parvez Faruki, Tanya Gera, "A Visualization based framework for classification of Android Malware Families", In In 2nd International Conference on SMART IoT SYSTEMS: INNOVATIONS IN COMPUTING (SSIC 2019) JANUARY 18-20, 2019, MANIPAL UNIVERSITY, JAIPUR.