Dhruv Nandakumar

According to our database, Dhruv Nandakumar authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning.

Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen

CoRR, 2024

Foundational Models for Malware Embeddings Using Spatio-Temporal Parallel Convolutional Networks.

Dhruv Nandakumar, Devin Quinn, Elijah Soba, Eunyoung Kim, Christopher Redino, Chris Chan, Kevin Choi, Abdul Rahman, Edward Bowen

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Cross-Temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach.

Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha, Cheng Wang, Christopher Redino, Abdul Rahman, Shalini Israni, Tarun Singh, Edward Bowen

Proceedings of the International Conference on Computing, Networking and Communications, 2024

MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning.

Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty

Proceedings of the International Conference on Computing, Networking and Communications, 2024

Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations.

Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023

A Novel Approach To User Agent String Parsing For Vulnerability Analysis Using Mutli-Headed Attention.

Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen

CoRR, 2023

Anomaly Detection via Federated Learning.

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

Proceedings of the 33rd International Telecommunication Networks and Applications Conference, 2023

A Novel Approach to User Agent String Parsing for Vulnerability Analysis Using Multi-Headed Attention.

Dhruv Nandakumar, Sathvik Murli, Ankur Khosla, Kevin Choi, Abdul Rahman, Drew Walsh, Scott Riede, Eric Dull, Edward Bowen

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Enhancing Exfiltration Path Analysis Using Reinforcement Learning.

Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen

Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

2022

Anomaly Detection via Federated Learning.

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

CoRR, 2022

Lateral Movement Detection Using User Behavioral Analysis.

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

CoRR, 2022

Zero Day Threat Detection Using Graph and Flow Based Security Telemetry.

Christopher Redino, Dhruv Nandakumar, Robert Schiller, Kevin Choi, Abdul Rahman, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila

CoRR, 2022

Zero Day Threat Detection Using Metric Learning Autoencoders.

Dhruv Nandakumar, Robert Schiller, Christopher Redino, Kevin Choi, Abdul Rahman, Edward Bowen, Marc Vucovich, Joe Nehila, Matthew Weeks, Aaron Shaha

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022