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Ayush Kumar 0001
Person information
- affiliation: National University of Singapore
Other persons with the same name
- Ayush Kumar — disambiguation page
- Ayush Kumar 0002 — The LNM Institute of Information Technology, Jaipur, India
- Ayush Kumar 0003 — Indian Institute of Technology Patna, India
- Ayush Kumar 0004 — Stony Brook University, USA
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2020 – today
- 2024
- [i9]Ayush Kumar, Vrizlynn L. L. Thing:
Evaluating The Explainability of State-of-the-Art Machine Learning-based IoT Network Intrusion Detection Systems. CoRR abs/2408.14040 (2024) - 2023
- [c6]Ayush Kumar, Vrizlynn L. L. Thing:
Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. ITNAC 2023: 110-117 - [c5]Ayush Kumar, Vrizlynn L. L. Thing:
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. PST 2023: 1-12 - [c4]Ayush Kumar, Vrizlynn L. L. Thing:
A Public Key Infrastructure for 5G Service-Based Architecture. TrustCom 2023: 1532-1539 - [i8]Ayush Kumar, Vrizlynn L. L. Thing:
RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation. CoRR abs/2301.11524 (2023) - [i7]Ayush Kumar, Vrizlynn L. L. Thing:
A Public Key Infrastructure for 5G Service-Based Architecture. CoRR abs/2309.14659 (2023) - [i6]Ayush Kumar, Vrizlynn L. L. Thing:
Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection. CoRR abs/2312.01681 (2023) - 2022
- [j3]Ayush Kumar, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim:
Machine learning-based early detection of IoT botnets using network-edge traffic. Comput. Secur. 117: 102693 (2022) - 2020
- [c3]Ayush Kumar, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim:
ML-Based Early Detection of IoT Botnets. SecureComm (2) 2020: 254-260 - [i5]Ayush Kumar, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim:
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic. CoRR abs/2010.11453 (2020)
2010 – 2019
- 2019
- [c2]Ayush Kumar, Teng Joon Lim:
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques. WF-IoT 2019: 289-294 - [i4]Ayush Kumar, Teng Joon Lim:
Early Detection Of Mirai-Like IoT Bots In Large-Scale Networks Through Sub-Sampled Packet Traffic Analysis. CoRR abs/1901.04805 (2019) - [i3]Ayush Kumar, Teng Joon Lim:
A Secure Contained Testbed for Analyzing IoT Botnets. CoRR abs/1906.07175 (2019) - [i2]Ayush Kumar, Teng Joon Lim:
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques. CoRR abs/1906.09715 (2019) - 2018
- [c1]Ayush Kumar, Teng Joon Lim:
A Secure Contained Testbed for Analyzing IoT Botnets. TRIDENTCOM 2018: 124-137 - 2016
- [j2]Ayush Kumar, Saumya Dwivedi, Aditya K. Jagannatham:
GLRT-Based Spectrum Sensing for MIMO SC-FDMA Cognitive Radio Systems in the Presence of Synchronization Impairments. IEEE Wirel. Commun. Lett. 5(3): 280-283 (2016) - [i1]Ayush Kumar:
Joint Resource Allocation for OFDMA based Overlay Cognitive Radio Networks under Stochastic Rate Constraint. CoRR abs/1604.00275 (2016) - 2015
- [j1]Ayush Kumar, Saumya Dwivedi, Aditya K. Jagannatham:
GLRT Based Spectrum Sensing for MIMO SC-FDMA Cognitive Radio Networks. IEEE Wirel. Commun. Lett. 4(6): 593-596 (2015)
Coauthor Index
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