KEC Faculty Profile

Name

Department

Qualification

Area of Specialization

Date of Joining KEC

Membership in Professional   Bodies

Experience in (Years)

Number of Papers Published

Number of Papers Presented

S.Malliga

Computer Science and Engineering

M.E.,Ph.D.

Networks, Network Security, Internet of Things, Machine and Deep Learning

14-05-2001

CSI, ISTE  

28

77

70

Contact Details : mail ID : mallisenthil.cse@kongu.edu, mallisenthil@kongu.ac.in

  mobile : 9842278780

    Office : 04294 226560     intercom : 560 

Number of Funded Research Projects         : 04

Number of Consultancy Projects           : 17

Number of Funded Programmes       : 02

Link to IRINS page

Articles Published in Journals (International)

1. S.Malliga and Dr.A.Tamilarasi, “A proposal for new marking scheme with its performance evaluation for IP Traceback”, WSEAS Transactions on Computer Research, Vol. 3,  No. 4, PP. 259-272 , 2008

2. S.Malliga and Dr.A.Tamilarasi,  An autonomous framework for early detection of spoofed flooding attacks, International Journal of Network Security, Vol.10, No.1, PP.39–50, 2010

3. S.Malliga and Dr.A.Tamilarasi, “A collaborative framework for detection, prevention, and traceback of flooding attacks using marking and filtering”, Information Security Journal : A Global Perspective, Vol. 18, No. 2, pp. 74 – 86, 2009

4. S.Malliga and Dr.A.Tamilarasi, “An Autonomous level defense for DoS/DDoS”, International Journal of Recent Trends in Engineering, Vol. 1, No. 1, pp. 518-522, 2009

5. S.Malliga and Dr.A.Tamilarasi, “A Backpressure technique for filtering spoofed traffic at upstream routers”, International Journal of Security and Networks (Inderscience), Vol. 5, No. 1, pp. 3-14, 2010

6. S.Malliga and Dr.A.Tamilarasi, “A distributed defensive architecture for DoS/DDoS attacks”, Journal of Information Privacy and Security, Vol. 4, No. 4, pp. 21-44, 2008

7. S.Malliga and Dr.A.Tamilarasi, “A Source-End Defense for spoofed flooding attacks and Its performance Evaluation”, International Journal of Information Processing, Vol. 1, No. 1, pp. 518-522, 2009

8. S.Malliga and Dr.A.Tamilarasi, “A hybrid scheme using packet marking and logging for IP traceback”, International Journal of Internet Protocol Technology, Vol 5,No-2, pp81-91,2010

9.  S.Malliga and R.Shanthakumari, “Video Steganography Using LSB Matching Revisited Algorithm”, OSR Journal of Computer Engineering (IOSR JCE) , Volume 16, Issue 6,December 2014 pp. 1-6

10. S.V.Kogilavani, C.S.KanimozhiSelvi and S.Malliga, “Automatic Enhanced Update Summary Generation System for News Documents”, World Academy of Science, Engineering and Technology, International Journal of Computer, Control, Quantum and Information Engineering , Vol:9 No:2, 2015

11. S.Malliga and Vijiyalakshmi , A Compressed Model for Anomaly and Misuse Based Intrusion Detection, International Journal of Applied Engineering Research, Vol. 10 No.1 ,  pp. 983-987, 2015

12. Dr.S.V.Kogilavani, Dr.C.S.Kanimozhiselvi and Dr.S.Malliga, “ Summary generation approaches based on semantic analysis for news documents”, Journal of Information Science, 21st July 2015, doi: 10.1177/0165551515594726, 2015

13.RMynavathi, P.Rajendran S.Malliga, "An insight into recent developments towards Privacy Preserving Techniques for  Secure Data mining", International Journal of Applied Engineering Research,  Vol 10, No. 38, pp.28406-28410, 2015

14. S. Malliga, R.Shanthakumari and S.Dheepika " Data Hiding Scheme in Spatial Domain", International Journal of Computer Science Engineering and Technology, Vol 4, No. 12, pp. 400-403, 2014

 15.  S. Malliga, R.Shanthakumari and S.Dheepika " , Secure Data Hiding in Images", International Journal of Advanced Research Trends in Engineering and Technology", Vol. II. No. VIII,pp.144-148, 2015

16.R.ShanthakumariS.Malliga, "Data Hiding in Image Using Tree Based Parity Check with LSB Matching Revisited Algorithm ", International Journal of Innovative Research in Computer and Communication Engineering,  Vol. 3, Issue 6, June 2015, 5472-5479

17.R.Shanthakumari, S.Malliga, "Image-in-Image Watermarking using Slant Transform",  International Journal of Informative and Futuristic Research,  Vol. 2, No. 10 3790-3801, 2015

18.  Dr.S.V.kogilavani, Dr.C.S.Kanimozhi Selvi, "Low Storage and Traceback overhead IP Traceback System", Journal of Information Science and Engineering, Vol.. 32, pp. 27-45 (2016)

19. S.Malliga, E.Anitha, “A Modulo Packet Marking Approach to Protect Cloud Environment against DDoS Attacks”, International Journal of Scientific & Engineering Research, Vol. 4, No. 5, pp. 394-398, May 2013

 20. K.G.Senthil Kumar, S.Malliga, Impact of Quality of Work Life on Mental Health among Teaching Professionals in Indian Higher Learning Institutions: An Empirical Analysis, Life Science Journal, Volume 9, Issue 4, , pp.3398 – 3404, 2012

21. S.Malliga , Saranya, “Density Based Adaptive Traffic Signal System”, International Journal of Applied Engineering Research, Vol. 10, No. 10, pp. 16474-16477, 2015

22. S.Malliga, R.Shanthakumari, “Information Hiding in Digital Images using Modified LSB Substitution with Multi-Pixel Differencing and HL Code”, Asian Journal of Research in Social Sciences and Humanities, Vol. 7, No. 1, pp. 198-207, 2017

 23. S.Malliga, R.Mynavathy, “Protecting Sensitive Data using Multilevel Privacy Preserving Framework Withstanding Linear and Non Linear Attacks”, Asian Journal of Research in Social Sciences and Humanities, Vol. 6, No. 8, pp. 11-20, 2016.\

 24. C.S.Kanimozhiselvi, S Malliga, S.V. Kogilavani, “Automated support thresholds for rule mining”, International Journal of Business Intelligence and Data Mining, Vol. 11, No.2, pp. 151-170, 2016

 25. P.Naveenraj, S.Malliga, “Selection of friends in social Internet of Things based on Heuristics”, International Journal of Advanced Research in Basic Engineering Sciences and Technology, Issue 24,Vol. 3, March 2017

 26. S.V.Kogilavani,R.Thangarajan,C.S.Kanimozhiselvi,S.Malliga, “Detecting Paraphrases in Tamil Language Sentences” , International Research Journal of Engineering and Technology, Vol . 4, No. 5, pp.442-446, May 2017

 27. S.V.Kogilavani,S.Malliga,C.S.Kanimozhiselvi,” Machine Learning Approaches for Sentence Level Paraphrase Identification”, International Journal of Software and Computer Science and Engineering, Vol. 2, No. 2,  pp.1-15,  2017

28. S.V.Kogilavani,R.Thangarajan,S.Malliga,C.S.Kanimozhiselvi, “Semantic Ranking based Service Recommendation System using MapReduce on Big Datasets”, International Journal of Advances in Computer and Electronics Engineering, Vol. 2, No. 4 pp:36-43, 2017

 29. S.V.Kogilavani,S.Malliga,C.S.Kanimozhiselvi, “Design of Cost-effective Printer to Print tactile Images for the Visually Impaired”, Journal of Image Processing and Artificial Intelligence, Vol 3. No. 2,2017

30. R Deborahsherene, R Shanthakumari, S Malliga, “DATA HIDING TECHNIQUE USING MULTI-PIXEL DIFFERENCING AND HL CODE “ , Fibonacci Based Chunks Distribution (FBCD) Scheme for Efficient P2P Interactive VoD Streaming

31. Laya Venugopal, R Shanthakumari, S Malliga, “Edge Adaptive Scheme For Data Hiding Using Tree Based Parity Check, Fibonacci Based Chunks Distribution (FBCD) Scheme for Efficient P2P Interactive VoD Streaming

32.R.Shanthakumari, Dr.S.Malliga, "Digital Image-in-Image Watermarking For Copyright Protection of Images Using the SlantTransform", WSEAS TRANSACTIONS on COMPUTERS, E-ISSN: 2224-2872, pp.326-334,  Volume 16, 2017

33. Dr.S.Malliga, Dr.SV.Kogilavani,Dr.C.S.Kanimozhiselvi,"Secured FriendshipSelection to  IncreaseNavigability in Social Internet of Things", International Journal of Advances in Computer and Electronics Engineering, Volume 3, Issue 1, January 2018, pp. 10–15

 34. Dr.S.Malliga, Dr.SV.Kogilavani, Dr.C.S.Kanimozhiselvi,” A Logarithmic and Exponentiation Based IP Traceback Scheme with Zero Logging and Storage Overhead”, International Journal on Future Revolution in Computer Science & Communication Engineering , ISSN: 2454-4248,Volume: 4 Issue: 1, pp. 229 – 236, January 2018

 35. Dr.C.S.Kanimozhiselvi, Dr.S.V.Kogilavani, Dr.S.Malliga, D.Jayaprakash, “Short Text Segmentation for Improved Query Processing”, International Journal of Advance Engineering and Research Development, Vol:5, Issue: 4,pp.105-111, April 2018

36. S.V.Kogilavani, S.Malliga, C.S.Kanimozhiselvi, “Sentence Level Paraphrase Identification System for Tamil Language”, International Journal of Darshan Institute, Vol. 7, No. 1, 2018, July

37. T.Mythili, M.karthickkiran, S.Noorjahan,   Dr.S.Malliga, “An Enhanced Packet Marking and Traceback Algorithm for IP Traceback”, Iconic Research and Engineering  Journal”, Vol. 2 Issue 9, ISSN: 2456-8880, 2019, March.

38. Kogilavani, S. V., S. Malliga, A. Preethi, L. Nandhini, and S. R. Praveen. "A Comprehensive Analysis on Question Classification Using Machine Learning and Deep Learning Techniques." In Mobile Computing and Sustainable Informatics, pp. 825-838. Springer, Singapore, 2022.

39. R Shanthakumari,  S.Malliga, “Dual-layer security of image steganography based on IDEA and LSBG algorithm in the cloud environment”, Sådhanå, Indian Academy of Sciences, Vol. 44 (5), 119, May 2019

40. S.V.Kogilavani, S.Malliga, C.S.Kanimozhiselvi ,” Text Document Classification using Machine Learning and Optimization Techniques”, International Journal of  New Technologies in Science and Engineering, Vol:5, Issue:4, pp.119-123, 2018

41. S.V.Kogilavani, S.Malliga, “Deep Learning based Model for Plant Disease Detection”, International Journal of Innovative Technology and Exploring Engineering, ISSN: 2278-3075, Vol. 8, No. 12, 2019

42.  S.Malliga, S.V.Kogilavani, P.S.Nandhini, "A Marking/Traceback System for Detecting the "Source of DoS/DDoS Attacks", International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-2, December, 2019

43. P.S.Nandhini, S.Malliga, N.Monisha Sri, K.Jeevitha, "A Deep Learning Based Approach for the Classification of Intrusions in IoT Based Networks", International Journal of Advanced Science and Technology 29 (9), 26-33, May 2020

44.P.S.Nandhini, S.Malliga, B.Madhumitha, P.Elango, "Deep Learning Based Artificial Neural Network: An Approach For For Classification Of Attacks In IoT Based Systems", International Journal of Advanced Science and Technology 29 (9), 19-25, May 2020

45.Tuberculosis detection using SVM and CNN", International Journal of Advanced Science and Technology 29 (3), 1039-1048, March 2020

46. P.S.Nandhini, Dr.S.Malliga, B.Madhumitha, P.Elango, "THWARTING wormhole attack in RPL based IoT networks", International Journal of Advanced Science and Technology 29 (3), 1031-1038, March 2020

47.Dr.S.Malliga, Dr.S.V.Kogilavani, Jaivignesh.D, "Classification of plant seedlings using Deep learning Architectures", International Journal of Advanced Science and Technology 29 (3), 1024-1030, March 2020

48. Dr.S.Malliga, S.Darsniya, "Network Intrusion Detection System for IoT using Machine Learning and Deep Learning Approaches", International journal of Advanced Science and Technology 29 (3), 1017-1023, March 2020

49.Dr.S.Malliga, G.Sherly Infanta, "Skin Disease Detection and Classification using Deep Learning Algorithms S.Malliga", International Journal of Advanced Science and Technology 29 (3), 255-260, March 2020.

50. Priyadharshini, R., Chakravarthi, B. R., Navaneethakrishnan, S. C., Durairaj, T., Subramanian, Malliga., Shanmugavadivel, K., ... & Kumaresan, P. K. (2022). Findings of the shared task on Abusive Comment Detection in Tamil. In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Association for Computational Linguistics.

51. Subramanian, Malliga, M. Sandeep Kumar, V. E. Sathishkumar, Jayagopal Prabhu, Alagar Karthick, S. Sankar Ganesh, and Mahseena Akter Meem. "Diagnosis of retinal diseases based on Bayesian optimization deep learning network using optical coherence tomography images." Computational Intelligence and Neuroscience 2022 (2022).

52.Subramanian, Malliga, Kogilavani Shanmugavadivel, and P. S. Nandhini. "On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves." Neural Computing and Applications (2022): 1-18.

53.Malliga, S., Kogilavani, S. V., & Nandhini, P. S. (2021, February). A comprehensive review of applications of internet of things for covid-19 pandemic. In IOP Conference Series: Materials Science and Engineering (Vol. 1055, No. 1, p. 012083). IOP Publishing.

54. Subramanian, Malliga, Narasimha Prasad Lv, and Sathishkumar VE. "Hyperparameter optimization for transfer learning of VGG16 for disease identification in corn leaves using Bayesian optimization." Big Data 10, no. 3 (2022): 215-229.

55.Nandhini, P. S., S. Kuppuswami, and S. Malliga. "Energy efficient thwarting rank attack from RPL based IoT networks: A review." Materials Today: Proceedings (2021).

56.Subramanian M, Shanmuga Vadivel K, Hatamleh WA, Alnuaim AA, Abdelhady M, VE S. The role of contemporary digital tools and technologies in Covid‐19 crisis: An exploratory analysis. Expert systems. 2022 Jul;39(6):e12834.

57.Rajeena PP, Fathimathul, Rasha Orban, Kogilavani Shanmuga Vadivel, Malliga Subramanian, Suresh Muthusamy, Diaa Salam Abd Elminaam, Ayman Nabil, Laith Abulaigh, Mohsen Ahmadi, and Mona AS Ali. "A novel method for the classification of butterfly species using pre-trained CNN models." Electronics 11, no. 13 (2022): 2016.

58.Subramanian, Malliga, Rahul Ponnusamy, Sean Benhur, Kogilavani Shanmugavadivel, Adhithiya Ganesan, Deepti Ravi, Gowtham Krishnan Shanmugasundaram, Ruba Priyadharshini, and Bharathi Raja Chakravarthi. "Offensive language detection in Tamil YouTube comments by adapters and cross-domain knowledge transfer." Computer Speech & Language 76 (2022): 101404.

59.Shanmugavadivel, Kogilavani, Sai Haritha Sampath, Pramod Nandhakumar, Prasath Mahalingam, Malliga Subramanian, Prasanna Kumar Kumaresan, and Ruba Priyadharshini. "An analysis of machine learning models for sentiment analysis of Tamil code-mixed data." Computer Speech & Language (2022): 101407.

60. Kogilavani, S.V., Malliga, S., Jaiabinaya, K.R., Malini, M. and Kokila, M.M., 2021. Characterization and mechanical properties of offensive language taxonomy and detection techniques. Materials Today: Proceedings.

61.Nandhini, P. S., Kuppuswami, S., & Malliga, S. (2022). Classification of Intrusions in RPL-Based IoT Networks: A Comparison. In Mobile Computing and Sustainable Informatics (pp. 849-862). Springer, Singapore.

62.Malliga, S., P. S. Nandhini, S. V. Kogilavani, R. Jaya Harini, S. Jaya Shree, and G. Jeeva. "Maize leaf disease classification using convolutional neural network." In AIP Conference Proceedings, vol. 2387, no. 1, p. 040001. AIP Publishing LLC, 2021.

63. Shanmugavadivel, Kogilavani, V. E. Sathishkumar, Sandhiya Raja, T. Bheema Lingaiah, S. Neelakandan, and Malliga Subramanian. "Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data." Scientific Reports 12, no. 1 (2022): 1-12.

64.Nandhini, P. S., S. Kuppuswami, S. Malliga, and R. DeviPriya. "A Lightweight Energy-Efficient Algorithm for mitigation and isolation of Internal Rank Attackers in RPL based Internet of Things." Computer Networks 218 (2022): 109391.

65.Nandhini, P. S., S. Kuppuswami, S. Malliga, and R. DeviPriya. "Enhanced Rank Attack Detection Algorithm (E-RAD) for securing RPL-based IoT networks by early detection and isolation of rank attackers." The Journal of Supercomputing (2022): 1-24.

66.Ambika, K., and S. Malliga. "Secure hyper intelligence in routing protocol with low-power (RPL) Networks in IoT." Advances in Engineering Software 173 (2022): 103247.

67. Ambika, K., and S. Malliga. "Intrusion Detection and Prediction by Using Lte-5lowpan in IoT Techniques." Specialusis Ugdymas 1, no. 43 (2022): 4032-4045.

68. Subramanian, Malliga, Narasimha Prasad Lv, and Sathishkumar VE. "Hyperparameter optimization for transfer learning of VGG16 for disease identification in corn leaves using Bayesian optimization." Big Data 10, no. 3 (2022): 215-229.

69.Malliga, Subramaniam, P. S. Nandhini, and Shanmuga Vadivel Kogilavani. "A Comprehensive Review of Deep Learning Techniques for the Detection of (Distributed) Denial of Service Attacks." Information Technology and Control 51, no. 1 (2022): 180-215.

70. Mohan, Prakash, Sathishkumar Veerappampalayam Easwaramoorthy, Neelakandan Subramani, Malliga Subramanian, and Sangeetha Meckanzi. "Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images." Electronics 11, no. 24 (2022): 4178.

71.Subramanian, Malliga, Vani Rajasekar, Sathishkumar VE, Kogilavani Shanmugavadivel, and P. S. Nandhini. "Effectiveness of Decentralized Federated Learning Algorithms in Healthcare: A Case Study on Cancer Classification." Electronics 11, no. 24 (2022): 4117.

72. Sathishkumar V.E., Jaehyuk Cho, Malliga. S, Obuli Sai Naren, " Forest fire and smoke detection using deep learning-based learning without forgetting", Fire Ecology, Vol. 19, No. 9, 2023.

73. Malliga S, J. Cho, V. E. Sathishkumar O. S. Naren, " Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models", IEEE Access, Vol. 11, pp. 10336-10354, 2023.

74. Subramanian, Malliga, Veerappampalayam Easwaramoorthy Sathishkumar, Jaehyuk Cho, and Kogilavani,  " Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images",  Scientific reports, Vol. 13, No.1, pp. 8516, 2023

75. Subramanian, Malliga, Veerappampalayam Easwaramoorthy Sathiskumar, G. Deepalakshmi, Jaehyuk Cho, and G. Manikandan, "A survey on hate speech detection and sentiment analysis using machine learning and deep learning models", Alexandria Engineering Journal 80 (2023): 110-121. 

76. Shanmugavadivel, Kogilavani, V. E. Sathishkumar, Jaehyuk Cho, and Malliga Subramanian , "Advancements in Computer-Assisted Diagnosis of Alzheimer's Disease: A Comprehensive Survey of Neuroimaging Methods and AI Techniques for Early Detection ", Ageing Research Reviews (2023): 102072 

77.Malliga Subramanian, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy , Akash Murugesan and Ramya Chinnasamy , "Enhancing Sustainable Transportation: AI-Driven Bike Demand Forecasting in Smart Cities ", MDPI Sustainability, Vol. 15, 13840. 

Paper Presented in National Conferences

1.      S.Malliga, P.Jayanthi, Hiding data in XML Documentation, IT-TRENDZ, September 2004

2.      S.Malliga, P.Jayanthi, A defensive mechanism to detect DoS attacks against spoofed traffic, IT-TRENDZ, September 2004   S.Malliga, Recent trends in IT, SITCON, September 2001

3.      S.Malliga, Saranya, A Power Saving Scheme for FTP Applications in Peer to Peer Networks, National Conference on Innovation in Information Technology, March 2011.

4.      S.Malliga, Recent trends in IT, SITCON, September 2001

5.   S.Malliga, C.S.Kanimozhi Selvi, An enhanced association and classification approach for the discovery of knowledge from the web for the agriculture commodities, National Conference on IT applications for Rural Development and Health care, March 2005

6.     S.Malliga, C.S.Kanimozhi Selvi, Cattle feed management using data mining, National Conference on IT Applications for Rural Development and Healthcare techniques, March 2006

7.      S.Malliga, C.S.Kanimozhi Selvi, Smart card technologies in Healthcare industries, National Conference on IT applications for Rural Development and Health care, March 2006

8.    S..Malliga R.Santha Kumari, A new marking scheme with error detection to traceback IP spoofing, National conference on Innovative Computational Intelligence and Security Systems, February 2007

9.      S.Malliga, Saranya,  Reduction of Power Consumption In Peer to Peer Networks for FTP, National Conference on Emerging Issues in Computer Applications, March 2011

10.  S.Malliga and O.R.Deepa, The Framework Of Intrusion Detection System Using AdaBoost Algorithm, National Conference on Computing, Communication and Information Systems

11.  S.Malliga and O.R.Deepa, Reducing False-Alarm Rate using Adaboost Algorithm, National Conference on Informative and Innovative Technologies, February 2011

12.  S.Malliga and P.S.Dhanasekar, Intrusion Detection system for Green Cloud, National Conference of Smart Systems, March 2012

13.  S.Malliga, K.Kousalya and Nivodhini, Modified Scheduling Algorithms in HAIZEA, NCVIT’13, March 2013.  

14.  S.Malliga and E.Anitha, A Modulo Packet marking Technique Against DDOS Attacks in the Cloud Environment, National Conference on Recent Advances in Computer Vision and Information Technology , Govt. College of Technology, Coimbatore, March 2013

15.  S.Malliga and P.S.Dhanasekaran, Dynamic Resource allocation using Virtual machines and Fault tolerance using DYNAREP Algorithm in  cloud environment, National Conference on Frontiers of Computer Science and Computation Technologies, Sri Ramakrishna Engineering College, Coimbatore, April 2013.

16.  S.Malliga and P.S.Dhanasekaran, An approach for Dynamic Resource Allocation and Fault Tolerance in Cloud Environment, National Conference on Networks, Intelligence and Computing Systems,  SNS College of Technology, Coimbatore, February 2013

17.  S.V.Kogilavani, S.Malliga, C.S.Kanimozhiselvi,  Update Summary Generation based on Semantically Adopted Vector Space Model and Semantic Element Extraction Strategy, National conference on Recent Advances and Security Trends in Computing Methodologies, N.S.N College of Engineering and Technology, Karur, April 2015

18.  Dr.S.Malliga. A.SriAbinaya, K.P.Senbagavalli, R.Sukirtha, "Intrusion Detection Using Bait Scheme in MANET", National Conference on Innovations in Information Technology (NCIIT-2016), Bannari Amman Institute of Technology, Sathymangalam

19.  S.Malliga,P. Kavya ,K. Manimegala,V.Mohanapriya,” Monitoring adolescent alcohol use via multimodal analysis in social multimedia”, National Conference on Emerging Issues in Computer Applications, March 2017

 20.  S.Malliga,G. Anoorlavanya,R. Aravindh,J.Dharun Vignesh,” Android Based Patient’s Healthcare Management System”, National Conference on Emerging Trends in Engineering

 21.  S.Malliga,G.Saran, C.Ranjith Kumar, “Intrusion Detection in the RPL”, Fifth National Conference on Networking, Intelligence and Computing, March  2018

 22. S.V.Kogilavani,S.Malliga,"Indian native language identification using keras framework", International Conference On Emergineerin Trends In Engineering And Management, March 2020

23. Dr. S. Malliga, Jeevananth.S , Jaivignesh, "Developing a system for the classification of plant seedlings using deep Learning",  National Conference on Networking, intelligence and computing l, March 2020

24. Dr. S. Malliga, sherlyinfanta. G ,sindoora. D.S. , Yogarasi. S, "skin disease detection and classification using deep learn    algorithms", National Conference on networking, intelligence, and computing learning, March 2020

Paper Presented in International Conferences

1.      Malliga S. and Tamilarasi A, A Defensive Mechanism to Defend against DoS/DDoS Attacks by IP Traceback with DPM, Proceedings of 7th International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 07), Sivakasi, Tamil Nadu, India, Vol. 4, pp. 115-119,2007

2.      Malliga S. and Tamilarasi A, A Source end defense for spoofed flooding attacks and its performance evaluation, Proceedings of the 2nd International Conference on Information Processing, Bangalore, India, Vol. 2, pp. 557-563, 2008

3.    Malliga S., Tamilarasi A. and Janani M,  Filtering spoofed traffic at source end for defending against DoS/DDoS attacks,  Proceedings of International conference on Computing, Communication and Networking, Karur, Tamil Nadu, India, pp. 1-5, 2008

4.     S.Malliga and E.Anitha, A Packet Marking Approach to Protect Cloud Environment against DDoS attacks, International Conference on Communication and Embedded Systems, S.A. Engineering College, Chennai,March 2012.

5.   S,.Malliga and Nivodhini.M.K, Algorithm to Improve Scheduling Techniques in IaaS Cloud, International Conference on Information Communication and Embedded System,           S.A. Engineering College, Chennai

6.  S.Malliga and R.Aishwarya, Prevention of DoS/DDoS attack in the Virtual environment using Intrusion detection system, International Conference on Frontiers of Computational Intelligence, KSR College of Engineering, Tiruchengode

7.    S.Malliga and R.Aishwarya, Intrusion Detection System- An Efficient way to Thwart against Dos/DDos Attack in the Cloud Environment, Forth International conference on recent trends in Information technology, Madras Institute of Technology, Chennai, April 2014

8.  S.Malliga and S. Vijayalakshmi, A Compressed Model for Anomaly and Misuse  Based Intrusion Detection, IEEE   sponsored 9th international conference on intelligent systems and control, Karpagam College of Engineering, Coimbatore, March 2015

9.  S.Malliga and P. Saranya, Density based adaptive traffic signal system, 2nd IEEE International Conference on Innovation in Information. Embedded and Communication System, Karpagam College of Engineering, March 2015

10.  Vinodhini, S.Malliga and K.Kousalya, Algorithms to improve resource request acceptance rate in IaaS cloud, International conference on Cloud and Big data analysis , PSG College of technology, Coimbatore, March 2013

11.  S.Malliga, P.Dharani, “Detection of DDoS Attack using Deterministic Packet marking for IP Traceback”, International Conference on Energy, Environment and Engineering (ICEEE 2016), Coimbatore Institute of Technology, Coimbatore, March 2016

12.  S.Malliga, P.Dharani, “A novel IP traceback framework through dynamic deterministic Packet marking”, International Conference on Advance d Engineering and Technology for Sustainable Development, Karpagam College of Engineering, Coimbatore, February 2016

13.  S.Malliga, I. Chandravadhana, “Improving the life time for Mobile Wireless Sensor Networks using Selective Opportunistic  Routing”, International Conference on Advance d Engineering and Technology for Sustainable Development, Karpagam College of Engineering, Coimbatore, February 2016

14.  C.S.Kanimozhiselvi, S.Malliga,S.V.Kogilavani, “Big Data Analytics for Classifying Stock Exchange Dataset using Hive and Weka” , International Conference on Transformation for Business Sustainability : Issues and Strategies, March 2016

15.  S.Malliga, P. Naveenraj, “Heuristics for friendship selection in Social internet of Things”, International conference on Innovative Computing and technologies, February 2017.

16.  S.Malliga, C.Ranjithkumar,T. Prasad,” Design of cost effective printer for visually challenged”, IEEE international conference on Science, technology, Engineering and Management,Marhc 2017

17.  S.Malliga P.Naveenraj, “Selection of friends in Social Internet of Things based on Heuristics”, International Conference on Recent Trends in Engineering, Science and Technology, March 2017

18.  S.Malliga,P. Kavya ,K. Manimegala,V.Mohanapriya,” Monitoring adolescent alcohol use via multimodal analysis in social multimedia”, National Conference on Emerging Issues in Computer Applications, March 2017

19.  S.Malliga P.Naveenraj,” Selection of friends based on Strategies  in Social Internet of Things”, International conference on Advances in science , engineering and management, March 2017

 20.      S.Malliga, K.Sivaprakash, G.Vinitha,” IoT based Flood Monitoring and Alerting System”, International conference on Informational and Computational sciences, March 2018

 21.      S.Malliga, R.Harinisree, M.Mathumitha, N.Naveena,” Detection of spoofed IP Packets by IP Traceback”, International Conference on Latest Trends in Science, Engineering and Technology,  March 2019

 22.      S.Malliga, S.V.Kogilavani, P.S.Nandhini, “A low traceback and zero logging overhead IP Traceback approach for communication networks “,International Conference on Intelligent Computing and Communication for Smart world, December 2018.

 23. S. Mukherjee, S. Malliga ,S.Shome ,R.Bera, D.Bhaskar,” Cloud based Internet of Vehicle development using SDR platform towards URLLC system”, URSI Asia-Pacific Radio Science Conference, AP-RASC, March 2019

24. K.Ambika, S.Malliga, “Epitome evolution of sanctuary to detect the interloper in home automation”, International Conference on Technology Innovation and Data Sciences, October 11-12, 2019

25. Darshniya, S.Malliga, S.V. Kogilavani, “A Network Intrusion Detection System for IoT using Machine Learning and Deep Learning Approaches”, Recent Trend and challenges in Healthcare Informatics, December 2019

26. S.Malliga, S.V.Kogilavani, A Comprehensive Review of Applications of Internet of Things for Covid-19 Pandemic, International Virtual Conference on Robotics, Automation, Intelligent Systems and Energy (IVC RAISE2020), Kongu Engineering College, December 2020

27. Subramanian, Malliga, Kogilavani Shanmugavadivel, Obuli Sai Naren, K. Premkumar, and K. Rankish. "Classification of Retinal OCT Images Using Deep Learning." In 2022 International Conference on Computer Communication and Informatics (ICCCI), pp. 1-7. IEEE, 2022.

28. Priyadharshini, Ruba, Bharathi Raja Chakravarthi, Subalalitha Cn, Thenmozhi Durairaj, Malliga Subramanian, Kogilavani Shanmugavadivel, Siddhanth U. Hegde, and Prasanna Kumaresan. "Overview of Abusive Comment Detection in Tamil-ACL 2022." In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pp. 292-298. 2022.

29. Premjith, B., Bharathi Raja Chakravarthi, Malliga Subramanian, B. Bharathi, Soman Kp, V. Dhanalakshmi, K. Sreelakshmi, Arunaggiri Pandian, and Prasanna Kumaresan. "Findings of the Shared Task on Multimodal Sentiment Analysis and Troll Meme Classification in Dravidian Languages." In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pp. 254-260. 2022.

30. Chakravarthi, Bharathi Raja, Ruba Priyadharshini, Subalalitha Cn, S. Sangeetha, Malliga Subramanian, Kogilavani Shanmugavadivel, Parameswari Krishnamurthy et al. "Findings of the Shared Task on Multi-task Learning in Dravidian Languages." In Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages, pp. 286-291. 2022.

31. Nandhini, P. S., P. Srinath, P. Veeramanikandan, and S. Malliga. "Version Attack Detection using Claim Algorithm in RPL based IoT Networks: Effects and Performance Parameters Evaluation." In 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), pp. 209-215. IEEE, 2021.

32.Subramanian, Malliga, Kogilavani Shanmugavadivel, Suresh Muthusamy, Mohit Bajaj, Olena Rubanenko, and Dmytro Danylchenko. "Development of A Surveillance System to Detect Forest Fire and Smoke Using Deep Neural Networks." In 2022 IEEE 3rd KhPI Week on Advanced Technology (KhPIWeek), pp. 1-6. IEEE, 2022.

33. Subramanian, Malliga, V. E. Sathishkumar, C. Ramya, S. V. Kogilavani, and R. Deepti. "A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray Images." In 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 410-413. IEEE, 2022.

34. Kogilavani, S. V., V. E. Sathishkumar, and Malliga Subramanian. "AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques." In 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 400-403. IEEE, 2022.

35.Malliga, S., S. V. Kogilavani, and R. Sowmya. "Deep discover: Deep learning models for detecting distributed denial of service (DDOS) attacks." In AIP Conference Proceedings, vol. 2393, no. 1, p. 020191. AIP Publishing LLC, 2022.

36. Mahadevan, Shankar, Sean Benhur, Roshan Nayak, Malliga Subramanian, Kogilavani Shanmugavadivel, Kanchana Sivanraju, and Bharathi Raja Chakravarthi. "Transformers at semeval-2022 task 5: A feature extraction based approach for misogynous meme detection." In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pp. 550-554. 2022.

37.Subramanian, Malliga, G. J. Adhithiya, S. Gowthamkrishnan, and R. Deepti. "Screening Covid-19 Infection from Chest CT Images using Deep Learning Models based on Transfer Learning." In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1358-1363. IEEE, 2022.

38.Nandhini, P. S., S. Kuppuswami, S. Malliga, P. Srinath, and P. Veeramanikandan. "Driver Drowsiness Detection using Deep Learning." In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), pp. 1031-1036. IEEE, 2022.

39.Subramanian, Malliga, G. J. Adhithiya, S. Gowthamkrishnan, and R. Deepti. "Detecting Offensive Tamil Texts Using Machine Learning And Multilingual Transformer Models." In 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1-6. IEEE, 2022.

40.Subramanian, Malliga, Kogilavani Shanmuga Vadivel, and R. Sowmya. "Performance Evaluation of Deep Learning Models in Detection of Distributed Denial of Service Attacks." In 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 652-658. IEEE, 2021.

41.Santhiya, P., S. V. Kogilavani, and S. Malliga. "Sentiment Analysis Classifiers for Polarity Detection in Social Media Text: A Comparative Study." In 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 1407-1411. IEEE, 2021.

42.Malliga.S, Vadivel, K.S., Shibani, A., Adhithiya, G.J., Deepti, R., Krishnan, G.S. "Detection Offensive Tamil Texts using Machine Learning and Multilingual Transformers Models", 2022, CEUR Proceedings, December 2021

43.Kogilavani, S. V., R. Sandhiya, and S. Malliga. "Performance Comparison of Different Convolutional Neural Network Models for the Detection of COVID-19." In Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, pp. 413-425. Springer, Singapore, 2022.


Funded Research Projects

SWAYAM / MOOC Content Developed

S.No

1

Course Incharges

Dr.S.Malliga

Dr.R.Thangarajan

Dr.S.V.Kogilavani

Books Published

S.No

1

Book Title

Problem solving and Programming

(Tata McGraw Hill - Sep 2019)

Authors

Prof.S.Kuppuswami

Dr.S.Malliga

Dr.C.S.Kanimozhiselvi

Dr.K.Kousalya

Consultancy Projects

List of IIPC Courses

Special Lectures Delivered

Links to course materials