5 papers
Generative AI and Federated Learning for Intrusion Detection Systems: A Survey
Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar +5
Intrusion Detection Systems (IDSs) are essential for monitoring network traffic and identifying malicious activities in modern cyber-physical, Internet of Things (IoT), enterprise,…
MCP-in-SoS: Risk assessment framework for open-source MCP servers
Pratyay Kumar, Miguel Antonio Guirao Aguilera, Srikathyayani Srikanteswara +2
Model Context Protocol (MCP) servers have rapidly emerged over the past year as a widely adopted way to enable Large Language Model (LLM) agents to access dynamic, real-world tools…
NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic
Pratyay Kumar, Abu Saleh Md Tayeen, Satyajayant Misra +4
Deep learning (DL)-based Network Intrusion Detection System (NIDS) has demonstrated great promise in detecting malicious network traffic. However, they face significant security ri…
Analysis of Independent Learning in Network Agents: A Packet Forwarding Use Case
Abu Saleh Md Tayeen, Milan Biswal, Abderrahmen Mtibaa +1
Multi-Agent Reinforcement Learning (MARL) is nowadays widely used to solve real-world and complex decisions in various domains. While MARL can be categorized into independent and c…
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI
Milan Biswal, Abu Saleh Md Tayeen, Satyajayant Misra
Machine learning (ML) based smart meter data analytics is very promising for energy management and demand-response applications in the advanced metering infrastructure(AMI). A key…