Dr. Ila Naqvi’s research primarily focuses on intelligent and secure communication systems, with a particular emphasis on Vehicular Ad Hoc Networks (VANETs), cybersecurity, intrusion detection, and machine learning.

Her doctoral work at Amity University involved designing novel neuro-genetic and soft computing-based frameworks for misbehavior detection in VANETs, addressing critical security challenges in vehicular communication environments. She has published multiple papers in reputed Scopus and ESCI-indexed journals, as well as in international conference proceedings, including IEEE Xplore, IJACSA, TEM Journal, and Springer LNEE. Her publications explore comparative analyses of intrusion detection techniques, genetic algorithm-optimized models for detecting Denial-of-Service attacks, and the performance evaluation of security frameworks in vehicular networks. These contributions have been recognized for their relevance to the growing field of intelligent transportation systems and automotive cybersecurity.

In addition to her work on network security, Dr. Naqvi has also contributed to interdisciplinary studies examining the impact of Information and Communication Technologies (ICT) in education. Her research in this area includes gap analyses of teacher and student perceptions in engineering education, published in ESCI journals and international conferences. Her continued focus lies in designing lightweight, scalable, and adaptive intrusion detection models that can be deployed in real-time vehicular networks.