Publications

[ *Graduate Student Co-Author and %Undergraduate student Co-Author]

  1. R. Uddin *and S. Kumar, “ SDN-based Federated Learning approach for Satellite-IoT Framework to Enhance Data Security and Privacy in Space Communication”, IEEE Journal of Radio Frequency Identification, May 2023 [Manuscript Link]
  2. H. Bisht, M. Patra and S. Kumar, “ Detection and Localization of DDoS attack during Inter-Slice Handover in 5G Network Slicing”, 20th IEEE Internatonal Conference on Consumer Communications, January 2023 [Manuscript Link]
  3. A. Halder, P. Chattopadhyay and S. Kumar, “ Gait transformation network for gait de-identification with pose preservation”, Springer Journal of Signal, Video and Image Processing, November 2022 [Manuscript Link]
  4. S. Kumar, M. Pillai and Z. Li, “ Global Perception of Telemedicine before and after COVID-19 : A Text Mining Analysis”, IEEE Symposium Series on Computational Intelligence, Singapore, 2022 [Manuscript Link]
  5. P. Hart %, T. Rahman and S. Kumar, “ Emotion and Sentiment Recognition using Natural Language Processing and Machine Learning Techniques during Disaster Situation”, IEEE Symposium Series on Computational Intelligence, Singapore, 2022 [Manuscript Link]
  6. C. Liptak *, S. Mal-Sarkar and S. Kumar, “ Power Analysis Side Channel Attacks and Countermeasures for the Internet of Things”, IEEE International Conference on Physical Assurance and Inspection of Electronics (PAINE), Huntsville, AL, 2022 [Manuscript Link]
  7. S. Kumar, N.Ahmad and A. Bikos, “ SWIoTA: Anomaly Detection for Distributed Ledger Technology-based Internet of Things (IOTA) using Sliding Window (SW) Technique ”, 5th IFIP International Internet of Things Conference, Amsterdam, Netherlands, October 2022 [Manuscript Link]
  8. R. Uddin *and S. Kumar, “ SDN-based Federated Learning approach for Satellite-IoT Framework to Enhance Data Security and Privacy in Space Communication”, 10th Annual IEEE International Conference on Wireless for Space and Extreme Environments (IEEE WiSEE 2022), Winnipeg, Canada [Manuscript Link]
  9. A. Bikos and S. Kumar, “ Securing Digital Ledger Technologies-Enabled IoT Devices: Taxonomy, Challenges, and Solutions”, IEEE Access, April 2022 [Manuscript Link]
  10. V. Venkatesh, P. Raj, S. Kumar, T. Suriya Praba and R. Anusha Devi, “ Demystifying Next-Generation Cyber-Physical Healthcare Systems”, Cyber-Physical Systems and Industry 4.0: Practical Applications and Security Management (2022): 149-175. CRC Press, Taylor and Francis [Manuscript Link]
  11. S.C. Sandeep, T. Rayan, Kumudavalli, and S. Kumar, “ Case Studies on 5G and IoT Security Issues from the Leading 5G and IoT System Integration Vendors”, Secure Communication for 5G and IoT Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. Springer. [Manuscript Link]
  12. A. Bikos and S. Kumar, “ Reinforcement Learning-Based Anomaly Detection for Internet of Things Distributed Ledger Technology”, in proceedings of IEEE Symposium on Computers and Communications (ISCC), Athens, Greece, September 2021. [Manuscript Link]
  13. A. Sharifia, A. Valizadeh and S. Kumar, and M. Ahmadi, “ Presentation of A Novel Method for Prediction of Traffic with Climate Condition Based on Ensemble Learning of Neural Architecture Search (NAS) And Linear Regression”, Hindawi Complexity, August 2021. [Manuscript Link]
  14. S. Sullivan*, A. Brighente, S. Kumar, and M. Conti, “ 5G Security Challenges and Solutions: A Review by OSI Layer”, IEEE Access, August 2021. [Manuscript Link]
  15. A. Suresh, R. R. Nair, S. Neeba, and S. Kumar, “ Recurrent Neural Network for Genome Sequencing for Personalized Cancer Treatment in Precision Healthcare”, Springer-Nature Neural Processing Letters, July 2021. [Manuscript Link]
  16. D. Agrawal, S. Minocha, S. Namasudra and S. Kumar, “ Ensemble Algorithm using Transfer Learning for Sheep Breed Classification”, in proceedings of IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI 2021), May 2021. [Manuscript Link]
  17. S. Kumar, S. Velliangiri, M. Karthikeyan, S. Kumari, S. Kumar and M.K. Khan“ A Survey on the Blockchain Techniques for the Internet of Vehicles Security”, Wiley Transactions on Emerging Telecommunications Technologies, April 2021. [Manuscript Link]
  18. S.A.P. Kumar, R. R. Nair, E. Kannan, E, A. Suresh, and S. Raj Anand“ Intelligent Vehicle Parking System (IVPS) Using Wireless Sensor Networks”, Springer-Nature Wireless Personal Communications, March 2021. [Manuscript Link]
  19. S.A.P. Kumar, A. Suresh, S. R. Anand, K Chokkanathan, and M Vijayasarathy “ Hybridization of Mean Shift Clustering and Deep Packet Inspected Classification for Network Traffic Analysis”, Springer-Nature Wireless Personal Communications, February 2021. [Manuscript Link]
  20. E. Kannan, S. Ravikumar, A. Anitha, S.A.P. Kumar, and M Vijayasarathy “ Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set”, Springer Journal of Ambient Intelligence Human Computing, January 2021. [Manuscript Link]
  21. I. Vayansky * and S. Kumar, “ Review of Topic Modeling Methods”, Elsevier Information Systems Journal, May 2020.. [Manuscript Link]
  22. H. M. R. Afzal, S. Luo, H. M. R. Afzal, G. Chaudhary, M. Khari, and S. Kumar “ 3D Face Reconstruction from Single 2D Image Using Distinctive Features,in IEEE Access”, vol. 8, pp. 180681-180689, 2020, doi: 10.1109/ACCESS.2020.3028106. [Manuscript Link]
  23. S. Velliangiri, Sathish A.P. Kumar, and Karthikeyan“ Internet of Things: Integration and Security Challenges”, CRC Press, Boca Raton, FL Decemeber 2020[ Book Link]
  24. J. Shelley*, M. Pillai and S. Kumar, “ Data Analysis of Lead Contamination in New York”, in Proceedings of  2020 IEEE International Symposium Series on Computational Intelligence (IEEE SSCI), 2020. [Manuscript Link]
  25. M. Gokhil*, and S. Kumar, “Evaluation of Classification algorithms for Distributed Denial of Service Attack Detection”, in Proceedings of The Third IEEE International Conference on Artificial Intelligence and Knowledge Engineering (IEEE AIKE). [Manuscript Link]
  26. J. Harvey*, S. Kumar, , and S. Bao “ Machine Learning-Based Models for Assessing Impacts Before, During and After Hurricane Michael”, in Proceedings of  2020 IEEE International Symposium Series on Computational Intelligence, 2020. [Manuscript Link]
  27. Sathish A.P. Kumar, and M. Brown“ Reflective Neural Network Based Learning Framework for Intelligent Physical Systems”, in Proceedings of  6th IEEE International Conference on High Performance and Smart Computing (IEEE HPSC 2020), 2020. [Manuscript Link]
  28. J. Harvey* and S . Kumar, “ A Survey of Intelligent Transportation Systems Security: Challenges and Solutions”, in Proceedings of  5th IEEE International Conference on Intelligent Data and Security (IEEE IDS 2020), 2020. [Manuscript Link]
  29. Kumar, S.A.P., Bao, S., Singh, V and J. Hallstrom, “Flooding disaster resilience information framework for smart and connected communities”, Springer Journal of Reliable Intelligent Environments, Feb 2019, pp. 1-13.  [Manuscript Link]
  30. I. Vayansky*, S. Kumar and Z. Li, “An Evaluation of Geotagged Twitter Data during Hurricane Irma using Sentiment Analysis and Topic Modeling for Disaster Resilience, in Proceedings of 2019 IEEE International Symposium on Technology and Society conference (IEEE ISTAS) pp.1-6, Boston, MA, 2019. [Manuscript Link]
  31. J. Harvey* and Sathish A.P. Kumar, “Machine Learning-Based Models for Assessing Impacts Before, During and After Hurricane Florence”, in Proceedings of  2019 IEEE International Symposium Series on Computational Intelligence (IEEE SSCI), pp. 714-721, Xiamen, China, 2019. [Manuscript Link]
  32. J. Harvey* and Sathish A.P. Kumar, “Machine Learning for Predicting Development of Asthma in Children”, in Proceedings of 2019 IEEE International Symposium Series on Computational Intelligence (IEEE SSCI), pp. 596-603,  Xiamen, China, 2019. [Manuscript Link]
  33. B. Dahal%, S.A.P Kumar, Z. Li, “Topic Modeling and Sentiment Analysis of Global Climate Change Tweets”, Springer Social Network Analysis and Mining Journal, vol.9, 24, 2019. [Manuscript Link]
  34. J. Harvey* and Sathish A.P. Kumar, “Data Science for K-12 Education”, in Proceedings of 2019 IEEE International Symposium Series on Computational Intelligence (IEEE SSCI), pp. 2482-2488, Xiamen, China, 2019. [Manuscript Link]
  35. J. Harvey* and Sathish A.P. Kumar, “A Practical Model for Educators to Predict Student Performance in K-12 Education using Machine Learning”,  in Proceedings of 2019 IEEE International Symposium Series on Computational Intelligence (IEEE SSCI),  pp. 3004-3011, Xiamen, China, 2019. [Manuscript Link]
  36. S. Velliangiri, Karthikeyan, I. T. Joseph, and Sathish A.P. Kumar, “Investigation of Deep Learning Schemes in Medical Application,”, 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, 2019, pp. 87-92.[ Manuscript Link]
  37. Sathish A.P. Kumar and B.Xu, “A Machine Learning Based Approach to Detect Malicious Fast Flux Networks”, in Proceedings of 2018 IEEE International Symposium Series on Computational Intelligence (IEEE SSCI), pp. 1676-1683, Bangalore, 2018. [Manuscript Link]
  38. Sathish A.P. Kumar and M. Brown, “Spatio-Temporal Reasoning within a Neural Network framework for Intelligent Physical Systems”, in Proceedings of  2018 IEEE International Symposium Series on Computational Intelligence (IEEE SSCI), pp. 274-280, Bangalore, 2018. [Manuscript Link]
  39. S. Singleton%, S. Kumar and Z. Li, “Twitter Analytics: Are the United States Coastal Regions Prepared for Climate Change“, in Proceedings of 2018 IEEE International Symposium on Technology and Society conference (IEEE ISTAS), pp.150-155, Washington DC, 2018. [Manuscript Link]
  40. Kumar, S.A.P., Madhumathi, R., Chelliah, P.R. et al. “A novel digital twin-centric approach for driver intention prediction and traffic congestion avoidance”, Springer Journal of Reliable Intelligent Environment, 2018. 4: 199. Publisher: Springer Nature, 2018. [Manuscript Link]
  41. Ike Vayansky* and Sathish A.P. Kumar, “Phishing–challenges and solutions”, Elsevier Computer Fraud and Security, vol. 1, pp. 15-20, 2018. Publisher Elsevier. [Manuscript Link]
  42. J. Liu, S. Wang, A. Zhou, X. Xu, S. Kumar, F.Yang, “Towards Bandwidth Guaranteed Virtual Cluster Reallocation in the Cloud”, The Oxford Computer Journal, vol. 61, no.9, 2018. [Manuscript Link]
  43. David Eastman% and Sathish A.P. Kumar, “A Simulation Study to Detect Attacks on Internet of Things”, in Proceedings of the  15th IEEE International Conference on Dependable, Autonomic and Secure Computing (IEEE DASC), pp. 645-650, Orlando, FL, USA, 2017. [ Manuscript Link]
  44. Sathish A.P. Kumar,  B. Bhargava, R. Macedo, and G. Mani, “Securing IoT-based Cyber-Physical Human Systems against Collaborative Attacks”, in Proceedings of the  IEEE International Congress on Internet of Things (IEEE ICIOT), pp. 9-16, Honolulu, HI, USA, 2017. [Manuscript Link]
  45. X.Wei, S. Wang, J. Xu, S. Kumar, and F. Yang, “MVR: an Architecture for Computation Offloading in Mobile Edge Cloud”, in Proceedings of the 14th IEEE International Conference on Service Computing (IEEE SCC), pp. 232-235, Honolulu, HI, USA, 2017. [Manuscript Link]
  46. Sathish A.P. Kumar and Brian Xu, “Vulnerability Assessment for Security in Aviation Cyber-Physical Systems”, in Proceedings of the 4th IEEE International Conference on Cybersecurity and Cloud computing, pp. 145-150, New York, USA, 2017. [Manuscript Link]
  47. Pethuru Raj Chelliah and Sathish A.P. Kumar, “A Cloud-based Service Delivery Platform for effective Homeland Security”, in Proceedings of the 4th IEEE International Conference on Cybersecurity and Cloud computing, pp. 157-162, New York, USA, 2017. [Manuscript Link]
  48. Pethuru Raj Chelliah and Sathish A.P. Kumar, “Big Data Analytics Processes and Platforms for Smart Cities”, Book chapter in  the book titled ‘Smart Cities: Foundations, Principles and Applications’, pp. 23-52,  Publishers: Wiley, 2017. [Manuscript Link]
  49. Stephanie Revels*, Sathish Kumar and Ofir Ben-Assuli, “Predicting Obesity Rate and Obesity-Related Healthcare Costs using Data Analytics”, Elsevier Health Policy and Technology, vol. 6, no. 2, pp. 198-207, 2017 (Impact Factor: 0.63). [Manuscript Link]
  50. J. Xu, S.Wang, S. Kumar, and L.Wang, “Latent Interest and Topic Mining on User-item Bipartite Network”, in 13th IEEE International Conference on Service Computing (IEEE SCC), pp. 778-781, 2016 (Acceptance Rate -38%). [Manuscript Link]
  51. Jeeva Chelladhurai, Pethuru Raj Chelliah and Sathish A.P. Kumar, “Securing Docker Containers from Denial of Service (DoS) Attacks” in 13th IEEE International Conference on Service Computing (IEEE SCC), pp. 856-859, 2016 (Acceptance Rate -38%). [Manuscript Link]
  52. J.Liu, S. Wang, A.Zhou, S.Kumar and R. Buyya, “Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability” in IEEE Transactions in Cloud Computing, vol. 6, no. 4, pp. 1191-1202, 2016 (Impact Factor: 2.365). [Manuscript Link]
  53. Sathish Alampalayam Kumar, Tyler Vealey% and Harshit Srivastava%, “Security in Internet of Things: Challenges, Solutions and Future Directions”, 49th IEEE Hawaii International Conference on System Sciences (HICSS), pp. 5772-5781, Kauai, HI, 2016 (Acceptance Rate -48%). [Manuscript Link]
  54. Shaun Ralko% and Sathish Alampalayam Kumar, “Smart City Security”, in Proceedings of the Cybersecurity Conference on Education, Research and Practice, Oct 2016, Kennesaw, GA. [Manuscript Link]
  55. B.Xu, Sathish Alampalayam Kumar, “Big Data Analytics for System Health Monitoring”, in Proceedings of the 4th IEEE International. Congress on Big Data (IEEE Big Data Congress), , pp. 401-408, New York, NY, USA, 2015. (Acceptance Rate -19%). [Manuscript Link]
  56. B.Xu and Sathish Alampalayam Kumar, “A Text Mining Framework for Aviation Datasets”, 25th Workshop of Information Technology and Systems (WITS), Dallas, TX, 2015 (Acceptance Rate – 37%). [Manuscript Link]
  57. Colton Chrane% and Sathish Alampalayam Kumar, An Examination of Tor Technology based Anonymous Internet, in Proceedings of the 15th Informing Science Institute (InSite) International Conference, pp. 145-153, Tampa, FL, June 2015.  [Manuscript Link]
  58. Harshit Srivastava% and Sathish Alampalayam Kumar, “Control Framework for Secure Cloud Computing”, Journal of Information Security, vol. 6, no. 01, p.12, 2014. (Impact Factor: 1.29). [Manuscript Link]
  59. Manonmani Kumar, Sathish A Kumar, Layla N Baykal%, Mallory J Banton%, Maya M Outlaw%, Kristen E Polivka% and Rachel Hellmann Whitaker, “Zinc is the Molecular “Switch” that Controls the Catalytic Cycle of Bacterial Leucyl-tRNA Synthetase”, Elsevier Journal of Inorganic Biochemistry, vol. 142, pp.59-67, 2014. (Impact Factor: 3.274). [Manuscript Link]
  60. Sathish Alampalayam Kumar, “Designing a Graduate Program in Information Security and Analytics”, in the Proceedings of the 15th ACM Conference on Information.  Technology Education, SIGITE 2014, pp. 141-146, Atlanta, GA, USA, 2014. (Acceptance Rate -47%). [Manuscript Link]
  61. B.Xu, Sathish Alampalayam Kumar, “Big Data Analytics Framework for Improved Decision Making”,  in Proceedings of the 2014 Intl. Conference on Internet Computing and Big Data , p. 1. Las Vegas, NV, USA, 2014. [Manuscript Link]
  62. Sathish Alampalayam Kumar, “Organizational control related to cloud”, Book Chapter in Security, Trust and Regulatory Aspects of the Cloud Computing in Business environments,  pp. 234-246, IGI Publishers, USA, 2014. [Manuscript Link]
  63. B.Xu, Sathish Alampalayam Kumar, and M. Kumar, “Cloud Architecture for enabling Intuitive Decision Making”, in proceedings of the 9th  IEEE World Congress on Services (IEEE Services -2013), pp. 60-66, Santa Clara, USA 2013. (Acceptance Rate -36%). [Manuscript Link]
  64. M. Kumar and Sathish A.P. Kumar, “Prediction of Type III Secretion Apparatus in Unannotated Bacterial Genomes”, in proceedings of the 4th  Intl Conference on Bioinformatics and Computational Biology (BICoB), Las Vegas, USA, 2012. [Manuscript Link]
  65. J. Duran%, and Sathish A.P. Kumar, “CUDA Based Multi Objective Parallel Genetic Algorithms: Adapting Evolutionary Algorithms for Document Searches”, in Proceedings of the 2011 Intl Conference on Information and Knowledge Engineering,  (IKE 2011), pp. 133-139, July 2011, Las Vegas, USA. [Manuscript Link]
  66. S. Srinivasan and S. P. Alampalayam “Intrusion Detection Algorithm for MANET”, International Journal of Information Security and Privacy, Vol. 5 No. 3, pp. 36-49, 2011. [Manuscript Link]
  67. Sathish A.P. Kumar “Security in Mobile Computing Systems – Classification and Review of Security Schemes in Mobile Computing”, Ad hoc and Wireless Sensor Networks, Vol.2 No. 6, p. 419, 2010. (Impact Factor: 0.48). [Manuscript Link]
  68. S. P. Alampalayam and S. Srinivasan, “Intrusion Recovery Framework for Tactical Mobile Ad hoc Networks”, Intl Journal of Computer Science and Network Security, Vol. 9 No. 9, pp. 1-10, Oct 2009. [Manuscript Link]
  69. S. P. Alampalayam and E. Natsheh, “Multivariate Fuzzy Analysis for Mobile Ad hoc Network Threat Detection”, International Journal of Business Data Communications and Networking, Vol. 4 No. 3, pp. 1-30, 2008. [Manuscript Link]
  70. S. P. Alampalayam, A. Kumar, and S.Srinivasan, “Statistical Based Intrusion Detection Framework using Six Sigma Technique”, International Journal of Computer Science and Network Security, Vol. 7 No. 10, pp. 333-342, October 2007.  [Manuscript Link]
  71. S. P. Alampalayam, A. Kumar, J. Graham, and S.Srinivasan, “Intruder Identification and Response Framework for Mobile Ad hoc Networks”, in Proceedings of 22ndInternational Conference on Computers And Their Applications, pp. 260-265, March 2007, Honolulu, Hawaii, USA. [Manuscript Link]
  72. S. P. Alampalayam, A. Kumar, and S. Srinivasan, “Mobile ad hoc networks security – a taxonomy”, in Proceedings of the 7th IEEE  Intl Conf. on Advanced Communication Technologies ( IEEE ICACT), pp. 839-844,  2005, Phoenix Park, Republic of Korea. [Manuscript Link]
  73. S. P. Alampalayam and A. Kumar, “An adaptive and predictive security model for mobile ad hoc networks”, Springer Wireless Personal Communications Journal, Special Issue for Security in Next Generation Wireless Networks, vol. 29, pp. 263-281, June 2004. (Impact Factor: 0.98). [Manuscript Link]
  74. S. P. Alampalayam and A. Kumar, “Predictive security model using data mining”, in Proceedings of 47th  IEEE Global Telecommunications (IEEE GlobeCom) Conference, 2004, , pp. 2208-2212, Dallas, Texas, USA.  (Acceptance Rate -37.7%). [Manuscript Link]
  75. S. P. Alampalayam and A. Kumar, “Adaptive security model for mobile agents in wireless networks”, in Proceedings of 46th IEEE Global Telecommunications (IEEE GlobeCom) Conference, pp. 1516-1521, 2003, San Francisco, California, USA. (Acceptance Rate -36.3%). [Manuscript Link]
  76. S. P. Alampalayam and A. Kumar, “Security model for routing attacks in wireless networks”, in Proceedings of 58th IEEE Vehicular Technology Conference(VTC), pp. 2122-2126, Fall 2003, Orlando, Florida, USA. (Acceptance Rate -30%). [Manuscript Link]
  77. S.P. Alampalayam, A.Kumar, A.Sleem, R.K.Ragade and J.P. Wong, “Artificial Neural Network for mobility prediction in enterprise integration”, Proceedings of 38thACM/IEEE Design Automation Conference (DAC),2001, Las Vegas, Nevada, USA. 

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