On the performance of machine learning models for anomaly-based intelligent intrusion detection systems for the internet of things G Abdelmoumin, DB Rawat, A Rahman IEEE Internet of Things Journal 9 (6), 4280-4290, 2021 | 60 | 2021 |
Using cyber terrain in reinforcement learning for penetration testing R Gangupantulu, T Cody, P Park, A Rahman, L Eisenbeiser, D Radke, ... 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2022 | 31 | 2022 |
Enabling artificial intelligence adoption through assurance L Freeman, A Rahman, FA Batarseh Social Sciences 10 (9), 322, 2021 | 20 | 2021 |
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs T Cody, A Rahman, C Redino, L Huang, R Clark, A Kakkar, D Kushwaha, ... arxiv.org/abs/2201.12416, 2022 | 17 | 2022 |
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs R Gangupantulu, T Cody, A Rahma, C Redino, R Clark, P Park 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2021 | 15 | 2021 |
A survey on data-driven learning for intelligent network intrusion detection systems G Abdelmoumin, J Whitaker, DB Rawat, A Rahman Electronics 11 (2), 213, 2022 | 11 | 2022 |
Transmission electron microscopy study of PtSi/Si (p-type) composites grown on Si (111) substrates A Rahman, CW Bates Jr, WP Lowe, AF Marshall Materials Science and Engineering: B 77 (3), 241-245, 2000 | 11 | 2000 |
Skunk—A Blockchain and Zero Trust Security Enabled Federated Learning Platform for 5G/6G Network Slicing E Bandara, X Liang, S Shetty, R Mukkamala, A Rahman, NW Keong 2022 19th Annual IEEE International Conference on Sensing, Communication …, 2022 | 10 | 2022 |
Bassa-ML—A Blockchain and Model Card Integrated Federated Learning Provenance Platform E Bandara, S Shetty, A Rahman, R Mukkamala, J Zhao, X Liang 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022 | 9 | 2022 |
Data-Driven Quickest Change Detection for Securing Federated Learning for Internet-of-Vehicles B Ghimire, DB Rawat, A Rahman 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 8 | 2021 |
Finding the'Needle': Locating interesting nodes using the K-shortest paths algorithm in MapReduce C McCubbin, B Perozzi, A Levine, A Rahman 2011 IEEE 11th International Conference on Data Mining Workshops, 180-187, 2011 | 8 | 2011 |
On the geometry and homology of certain simple stratified varieties T Hübsch, A Rahman Journal of Geometry and Physics 53 (1), 31-48, 2005 | 8 | 2005 |
AI for cyberbiosecurity in water systems—A survey D Sobien, MO Yardimci, MBT Nguyen, WY Mao, V Fordham, A Rahman, ... Cyberbiosecurity: A new field to deal with emerging threats, 217-263, 2023 | 7 | 2023 |
Exposing surveillance detection routes via reinforcement learning, attack graphs, and cyber terrain L Huang, T Cody, C Redino, A Rahman, A Kakkar, D Kushwaha, C Wang, ... 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 7 | 2022 |
Let'sTrace—Blockchain, Federated Learning and TUF/In-ToTo Enabled Cyber Supply Chain Provenance Platform E Bandara, S Shetty, A Rahman, R Mukkamala MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 470-476, 2021 | 6 | 2021 |
Microstructural and electronic transport properties of PtxSi/p-Si (100) metal–semiconductor composite films A Rahman, CW Bates Jr, AF Marshall, SB Qadri, T Bari Materials Letters 39 (6), 343-349, 1999 | 6 | 1999 |
Moose: A Scalable Blockchain Architecture for 5G Enabled IoT with Sharding and Network Slicing E Bandara, S Shetty, A Rahman, R Mukkamala, X Liang 2022 IEEE Wireless Communications and Networking Conference (WCNC), 1194-1199, 2022 | 5 | 2022 |
A perverse sheaf approach toward a cohomology theory for string theory A Rahman arXiv preprint arXiv:0704.3298, 2007 | 5 | 2007 |
Indy528—Federated Learning Model Tokenization with Non-Fungible Tokens (NFT) and Model Cards E Bandara, X Liang, S Shetty, R Mukkamala, A Rahman, NW Keong 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems …, 2022 | 4 | 2022 |
Anomaly Detection via Federated Learning M Vucovich, A Tarcar, P Rebelo, N Gade, R Porwal, A Rahman, C Redino, ... arXiv:2210.06614v1 [cs.LG], 2022 | 4 | 2022 |