GLRT Based Spectrum Sensing for MIMO SC-FDMA Cognitive Radio Networks. - Ayush Kumar 001; Saumya Dwivedi; Aditya K. Jagannatham (IEEE Wirel. Commun. Lett., 2015)

Joint Resource Allocation for OFDMA based Overlay Cognitive Radio Networks under Stochastic Rate Constraint. - Ayush Kumar 001 (CoRR, 2016)

GLRT-Based Spectrum Sensing for MIMO SC-FDMA Cognitive Radio Systems in the Presence of Synchronization Impairments. - Ayush Kumar 001; Saumya Dwivedi; Aditya K. Jagannatham (IEEE Wirel. Commun. Lett., 2016)

A Secure Contained Testbed for Analyzing IoT Botnets. - Ayush Kumar 001; Teng Joon Lim (TRIDENTCOM, 2018)

EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques. - Ayush Kumar 001; Teng Joon Lim (WF-IoT, 2019)

Early Detection Of Mirai-Like IoT Bots In Large-Scale Networks Through Sub-Sampled Packet Traffic Analysis. - Ayush Kumar 001; Teng Joon Lim (CoRR, 2019)

ML-Based Early Detection of IoT Botnets. - Ayush Kumar 001; Mrinalini Shridhar; Sahithya Swaminathan; Teng Joon Lim (SecureComm (2), 2020)

Machine learning-based early detection of IoT botnets using network-edge traffic. - Ayush Kumar 001; Mrinalini Shridhar; Sahithya Swaminathan; Teng Joon Lim (Comput. Secur., 2022)

Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. - Ayush Kumar 001; Vrizlynn L. L. Thing (ITNAC, 2023)

RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. - Ayush Kumar 001; Vrizlynn L. L. Thing (PST, 2023)

A Public Key Infrastructure for 5G Service-Based Architecture. - Ayush Kumar 001; Vrizlynn L. L. Thing (TrustCom, 2023)

ExpIDS: A Drift-Adaptable Network Intrusion Detection System with Improved Explainability. - Ayush Kumar 001; Kar-Wai Fok; Vrizlynn L. L. Thing (ITNAC, 2024)

Evaluating The Explainability of State-of-the-Art Machine Learning-based IoT Network Intrusion Detection Systems. - Ayush Kumar 001; Vrizlynn L. L. Thing (CoRR, 2024)