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ORCIDAbdul Rahman
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Books and Theses
- 2011
[b1]Abdul Rahman:
Optimal power management for the UTS plug-in hybrid electric vehicle. University of Technology Sydney, Australia, 2011
Journal Articles
- 2024
- [j8]Eranga Bandara
, Xueping Liang, Peter Foytik, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Nalin Ranasinghe, Kasun De Zoysa, Wee Keong Ng:
Lightweight, geo-scalable deterministic blockchain design for 5G networks sliced applications with hierarchical CFT/BFT consensus groups, IPFS and novel hardware design. Internet Things 25: 101077 (2024) - [j7]Bimal Ghimire, Danda B. Rawat, Abdul Rahman:
Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV. IEEE Internet Things J. 11(9): 15310-15319 (2024) - 2023
- [j6]Ghada Abdelmoumin, Danda B. Rawat, Abdul Rahman:
Studying Imbalanced Learning for Anomaly-Based Intelligent IDS for Mission-Critical Internet of Things. J. Cybersecur. Priv. 3(4): 706-743 (2023) - 2022
- [j5]Tao He, Abdul Rahman, Ataur Rahman Farooqi:
Construction of an Online Education Platform Based on SOA Architecture and Multimedia Technology. Int. J. e Collab. 18(2): 1-16 (2022) - [j4]Ghada Abdelmoumin, Danda B. Rawat, Abdul Rahman:
On the Performance of Machine Learning Models for Anomaly-Based Intelligent Intrusion Detection Systems for the Internet of Things. IEEE Internet Things J. 9(6): 4280-4290 (2022) - 2021
- [j3]Muhammad Bukhsh, Saima Abdullah, Abdul Rahman, Mamoona Naveed Asghar, Humaira Arshad, Abdulatif Alabdulatif:
An Energy-Aware, Highly Available, and Fault-Tolerant Method for Reliable IoT Systems. IEEE Access 9: 145363-145381 (2021) - [j2]Ruiling Yu, Mohammad Asif Ikbal, Abdul Rahman:
Improvement of substation Monitoring aimed to improve its efficiency with the help of Big Data Analysis*. J. Intell. Syst. 30(1): 499-510 (2021) - 2015
- [j1]Abdul Rahman, M. M. Sufyan Beg:
Face sketch recognition using sketching with words. Int. J. Mach. Learn. Cybern. 6(4): 597-605 (2015)
Conference and Workshop Papers
- 2024
- [c35]Eranga Bandara, Peter Foytik, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Xueping Liang, Wee Keong Ng, Kasun De Zoysa:
SliceGPT - OpenAI GPT-3.5 LLM, Blockchain and Non-Fungible Token Enabled Intelligent 5G/6G Network Slice Broker and Marketplace. CCNC 2024: 439-445 - [c34]Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen:
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CCWC 2024: 28-35 - [c33]Benny Benyamin Nasution, Abdul Rahman, M. Rikwan E. S. Manik, Liwat Tarigan, Rahmat Widia Sembiring, Indra Siregar, Rina Walmiaty Mardi, Marliana Sari, Rismawati:
Citizen Movement Control System (CMCS) for Handling the Evacuation Process of an Earthquake. COINS 2024: 1-6 - [c32]Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen:
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CSR 2024: 262-269 - [c31]Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen:
Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks. ICNC 2024: 168-174 - [c30]Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen:
Cross-Temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach. ICNC 2024: 423-429 - [c29]Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty:
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. ICNC 2024: 635-640 - [c28]Eranga Bandara, Sachin Shetty, Abdul Rahman, Ravi Mukkamala, Peter Foytik, Xueping Liang:
RMF-GPT - OpenAI GPT-3.5 LLM, Blockchain, NFT, Model Cards and OpenScap Enabled Intelligent RMF Automation System. ICNC 2024: 653-658 - [c27]Eranga Bandara, Peter Foytik, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Xueping Liang, Ng Wee Keong, Kasun De Zoysa:
WedaGPT - Generative-AI (with Custom-Trained Meta's Llama2 LLM), Blockchain, Self Sovereign Identity, NFT and Model Card Enabled Indigenous Medicine Platform. ISCC 2024: 1-6 - 2023
- [c26]Nadini Sahabandu, Eranga Bandara, Peter Foytik, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Xueping Liang:
GreenThread - Blockchain, Non-Fungible Token(NFT), Model Cards, Self-Sovereign Identity and IPFS Enabled Sustainable Circular Fashion Platform. ANNSIM 2023: 357-243 - [c25]Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen:
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CAMLIS 2023: 77-90 - [c24]Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen:
A Novel Approach to User Agent String Parsing for Vulnerability Analysis Using Multi-Headed Attention. ICMLC 2023: 105-113 - [c23]Eranga Bandara, Sachin Shetty, Peter Foytik, Abdul Rahman, Ravi Mukkamala, Xueping Liang, Nadini Sahabandu:
Blockchain, NFT, Federated Learning and Model Cards enabled UAV Surveillance System for 5G/6G Network Sliced Environment. ISNCC 2023: 1-8 - [c22]Eranga Bandara, Peter Foytik, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Xueping Liang, Wee Keong Ng, D. N. Ranasinghe, Kasun De Zoysa:
Proof-of-Pedal - Pedal-Powered Byzantine Green Consensus for Blockchain. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 810-814 - [c21]Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Abdul Rahman, Dhruv Nandakumar, Christopher Redino, Kevin Choi, Robert Schiller, Sanmitra Bhattacharya, Balaji Veeramani, Alex West, Edward Bowen:
Anomaly Detection via Federated Learning. ITNAC 2023: 259-266 - 2022
- [c20]Eranga Bandara, Sachin Shetty, Abdul Rahman, Ravi Mukkamala, Juan Zhao, Xueping Liang:
Bassa-ML - A Blockchain and Model Card Integrated Federated Learning Provenance Platform. CCNC 2022: 753-759 - [c19]Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark, Christopher Redino:
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. COINS 2022: 1-8 - [c18]Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen:
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. DSC 2022: 1-8 - [c17]Aroosa Yaqoob, Abdul Basit, Abdul Rahman, Abdul Hannan, Kaleem Ullah:
Detection of COVID-19 in High Resolution Computed Tomography Using Vision Transformer. FIT 2022: 82-87 - [c16]Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura J. Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham:
Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems. FLAIRS 2022 - [c15]Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha:
Zero Day Threat Detection Using Metric Learning Autoencoders. ICMLA 2022: 1318-1325 - [c14]Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen:
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA 2022: 1350-1357 - [c13]Eranga Bandara, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Peter Foytik, Xueping Liang, Wee Keong Ng:
Kaputa - Blockchain, Non-Fungible Token and Model Card Integrated 5G/6G Network Slice Broker and Marketplace. MILCOM 2022: 559-564 - [c12]Eranga Bandara, Xueping Liang, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Wee Keong Ng:
Skunk - A Blockchain and Zero Trust Security Enabled Federated Learning Platform for 5G/6G Network Slicing. SECON 2022: 109-117 - [c11]Eranga Bandara, Sachin Shetty, Abdul Rahman, Ravi Mukkamala, Xueping Liang:
Moose: A Scalable Blockchain Architecture for 5G Enabled IoT with Sharding and Network Slicing. WCNC 2022: 1194-1199 - 2021
- [c10]Bimal Ghimire, Danda B. Rawat, Abdul Rahman:
Data-Driven Quickest Change Detection for Securing Federated Learning for Internet-of-Vehicles. GLOBECOM 2021: 1-6 - [c9]Eranga Bandara, Sachin Shetty, Abdul Rahman, Ravi Mukkamala:
Let'sTrace - Blockchain, Federated Learning and TUF/In-ToTo Enabled Cyber Supply Chain Provenance Platform. MILCOM 2021: 470-476 - [c8]Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park:
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. SSCI 2021: 1-6 - 2018
- [c7]Abdul Rahman, Nadeem Javaid, Muhammad Asad Zaheer, Maryam Bibi, Zoha Fatima, Qurat-ul Ain:
Globally Optimization Energy Grid Management System. NBiS 2018: 194-208 - [c6]Mubashar Mehmood, Nadeem Javaid, Junaid Akram, Sadam Hussain Abbasi, Abdul Rahman, Fahad Saeed:
Efficient Resource Distribution in Cloud and Fog Computing. NBiS 2018: 209-221 - 2015
- [c5]Abdul Rahman, Tanvir Ahmad, M. M. Sufyan Beg:
Ranking of Fuzzy Similar Faces Using Relevance Matrix and Aggregation Operators. SCSE 2015: 84-91 - 2013
- [c4]Abdul Rahman, M. M. Sufyan Beg:
Estimation of f-validity of geometrical objects with OWA operator weights. FUZZ-IEEE 2013 - [c3]Abdul Rahman, M. M. Sufyan Beg:
Investigation of OWA Operator Weights for Estimating Fuzzy Validity of Geometric Shapes. WCSC 2013: 15-24 - 2011
- [c2]Christopher McCubbin, Bryan Perozzi, Andrew Levine, Abdul Rahman:
Finding the 'Needle': Locating Interesting Nodes Using the K-shortest Paths Algorithm in MapReduce. ICDM Workshops 2011: 180-187 - [c1]Saqib R. Chaudhry, Hamed S. Al-Raweshidy, Abdul Rahman:
Transmitting UWB-OFDM Using 16-QAM over Hybrid Flat Fading Channels. VTC Spring 2011: 1-5
Informal and Other Publications
- 2024
- [i20]Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen:
Discovering Command and Control Channels Using Reinforcement Learning. CoRR abs/2401.07154 (2024) - [i19]Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen:
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. CoRR abs/2402.09200 (2024) - [i18]Ajay Kulkarni, Yingjie Wang, Munisamy Gopinath, Dan Sobien, Abdul Rahman, Feras A. Batarseh:
A Review of Cybersecurity Incidents in the Food and Agriculture Sector. CoRR abs/2403.08036 (2024) - [i17]Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen:
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CoRR abs/2406.17576 (2024) - [i16]Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Devin Quinn, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty:
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. CoRR abs/2407.19119 (2024) - 2023
- [i15]Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen:
Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks. CoRR abs/2305.15488 (2023) - [i14]Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen:
A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention. CoRR abs/2306.03733 (2023) - [i13]Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen:
Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach. CoRR abs/2309.00700 (2023) - [i12]Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen:
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CoRR abs/2310.03667 (2023) - [i11]Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty:
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. CoRR abs/2312.00051 (2023) - [i10]Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen:
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks. CoRR abs/2312.04587 (2023) - 2022
- [i9]Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen:
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. CoRR abs/2201.12416 (2022) - [i8]Christopher Redino, Dhruv Nandakumar, Robert Schiller, Kevin Choi, Abdul Rahman, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila:
Zero Day Threat Detection Using Graph and Flow Based Security Telemetry. CoRR abs/2205.02298 (2022) - [i7]Deepak Kushwaha, Dhruv Nandakumar, Akshay Kakkar, Sanvi Gupta, Kevin Choi, Christopher Redino, Abdul Rahman, Sabthagiri Saravanan Chandramohan, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila:
Lateral Movement Detection Using User Behavioral Analysis. CoRR abs/2208.13524 (2022) - [i6]Marc Vucovich, Amogh Kamat Tarcar, Penjo Rebelo, Narendra Gade, Ruchi Porwal, Abdul Rahman, Christopher Redino, Kevin Choi, Dhruv Nandakumar, Robert Schiller, Edward Bowen, Alex West, Sanmitra Bhattacharya, Balaji Veeramani:
Anomaly Detection via Federated Learning. CoRR abs/2210.06614 (2022) - [i5]Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha:
Zero Day Threat Detection Using Metric Learning Autoencoders. CoRR abs/2211.00441 (2022) - [i4]Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen:
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR abs/2211.03027 (2022) - 2021
- [i3]Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark:
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. CoRR abs/2108.07124 (2021) - [i2]Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park:
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. CoRR abs/2108.09358 (2021) - [i1]Andrei Svetovidov, Abdul Rahman, Feras A. Batarseh:
AI Assurance using Causal Inference: Application to Public Policy. CoRR abs/2112.00591 (2021)
Coauthor Index
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