Areas of Interest: Network Traffic Classification, DNS Tunnel Detection, Zero-Day Attack Detection, Darkweb Traffic Detection
Education: B.E., M.Tech., Ph.D
E-mail: neha.sharma@juet.ac.in
Contact No. : 117
Dr. Neha Sharma is an Assistant Professor in the Department of Computer Science and Engineering at Jaypee University of Engineering and Technology. She has completed her PhD from Indian Institute of Technology (BHU) Varanasi. Published research papers in SCI/SCIE indexed journals: ACM Transactions of Privacy and Security (ACM TOPS) and IEEE Transactions of Network and Service Management (IEEE TNSM). Presented works at IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS) at MNIT, Jaipur and IIT Guwahati, Assam. Filed a patent related to network traffic feature extraction. Passionate about teaching and mentoring students, and eager to contribute to collaborative research projects and student growth.
N. Sharma, M. Swarnkar, S. Kumar, ``LeakyDroid: A Lightweight Method for Detecting Zero-Day Leaky Android Applications using One-Class Graph Neural Networks", Journal of Information Security and Applications, 2026, pp. 102496-104309.
N. Sharma, M. Swarnkar, D. Kumar, ``DLAZE: Detecting DNS Tunnels Using Lightweight and Accurate Method for Zero-Day Exploits", IEEE Transactions on Network and Service Management, 2025, pp. 1-11.
M. Swarnkar and N. Sharma, ``OptiClass: An Optimized Classifier for Application Layer Protocols Using Bit Level Signatures,” ACM Transactions on Privacy and Security, 2024, vol. 27, pp. 1–23.
N. Sharma, M. Swarnkar, ``OptiTuneD: An Optimized Framework for Zero-Day DNS Tunnel Detection Using N-Grams'', IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'23), pp. 1-6.
N. Sharma, M. Swarnkar, B. Mondal, ``WebWall: Zero-Day Attack Detection in Web Traffic Using Spatial Graph Neural Network'', IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'24), pp. 1-6.
N. Sharma, M. Swarnkar, M. Zuhair, ``BruSSH: Early Detection of Distributed Brute Force SSH Attacks Using LSTM'', IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'24), pp. 1-6.
M. Swarnkar, N. Sharma, H.K. Thakkar, ``Malicious URL Detection Using Machine Learning", In Predictive Data Security using AI: Insights and Issues of Blockchain, IoT and DevOps, Springer, 2023, pp. 199-216.
N. Sharma, R. Kumar, M. Swarnkar, ``Social Networking: Challenges, Security Issues and Emerging Trends", In Blockchain Technology for Secure Social Media Computing, 2023, IET - Institution of Engineering and Technology, pp. 59-79.
Faculty co-coordinator, 3rd year Minor project, Dept. of CSE, JUET 2026 to till date.
Co-Convener, CodeSrijan-National Hackathon on AI for Bharat, JUET 2026.
ATAL FDP on Next-Gen Computing: From Mathematical Models to AI in Computer Vision 2025 (NIT Hamirpur)
ATAL FDP on Addressing Defamation Claims in the Age of Deepfake: Protecting Security & Privacy in Democratic India 2025 (UIT Bhopal)
Innovative Technologies for Next Generation Networks 2025 (TIIC-ABV-IIITM Gwalior)
Advanced Deep Dive into the Hidden Mathematical Science of Mechanistic Interpretability 2026 (MMMUT)
Inculcating Universal Human Values in Technical Education 2026 (AICTE)
Reviewer in Elsevier journals (Computer Networks and Journal of Information Security and Applications)
Served as a Reviewer in 4th IEEE International conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI 2026) organized by ABV-IIITM IEEE Student Branch
Serving as TPC member for the International Conference on Frontiers in Advanced Computing and Emerging Intelligent Technologies (FACEIT 2026) organized by NIT Warangal
