The group is interested in Mesh networks, 4G LTE/WiMAX, Cognitive radio, Cellular network measurements, Wireless networks, Network security, Operating systems security, mobile operating systems and device drivers, Operating systems for IoT systems.
Publications
SpotOn: Adversarially Robust Keyword Spotting on Resource-Constrained IoT Platforms Proceedings Article
In: Jianying Zhou, Tony Q. S. Quek, Debin Gao, Alvaro A. Cárdenas (Ed.): Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, ASIA CCS 2024, Singapore, July 1-5, 2024, ACM, 2024.
PANDA: Practical Adversarial Attack Against Network Intrusion Detection Proceedings Article
In: 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2024 - Supplemental Volume, Brisbane, Australia, June 24-27, 2024, pp. 28–32, IEEE, 2024.
EP-CuMAC: Energy and performance-efficient integrity protection for narrow-band IoT Journal Article
In: Internet Things, vol. 25, pp. 101004, 2024.
REMEDII: Robust Malware Detection with Iterative and Intelligent Adversarial Training Proceedings Article
In: Vishwas T. Patil, Ram Krishnan, Rudrapatna K. Shyamasundar (Ed.): Information Systems Security - 20th International Conference, ICISS 2024, Jaipur, India, December 16-20, 2024, Proceedings, pp. 246–264, Springer, 2024.
Modeling Dynamic (De)Allocations of Local Memory for Translation Validation Journal Article
In: Proc. ACM Program. Lang., vol. 8, no. OOPSLA1, pp. 1463–1492, 2024.
Members
Projects
- Detecting Adversarial Machine Learning-Assisted Attacks in IoT NetworksVireshwar Kumar (Assistant Professor, IITD) (PI), Rajeev Shorey (Adjunct Faculty, IITD) (co-PI), Dan Kim (Professor, University of Queensland) (co-PI) Sponsored by: Ministry of Electronics and Information Technology (MeitY)… Read More »Detecting Adversarial Machine Learning-Assisted Attacks in IoT Networks