7 papers
AWARE-RG: Abstraction Aware Explanation of Resiliency Graphs for Cyber Physical Systems
Shadaab Kawnain Bashir, Rakesh Podder, Philip D. Hopkins +3
Understanding the security posture of cyber physical systems (CPS) requires reasoning across both information technology (IT) and operational technology (OT). However, a security a…
Safety Graph: When Safety Responses Become Attack Surfaces in Cyber-Physical Systems
Rakesh Podder, Philip D. Hopkins, Sarath Sreedharan +2
Modern industrial control systems (ICS) are susceptible to cyber attacks triggering safety failures in the operational technology (OT) layer. The traditional way to mitigate any fa…
CAPE - Context-Aware Prioritization Engine for Vulnerability Scoring and Management
Rakesh Podder, Viktoria Koscinski, Indrajit Ray
Vulnerability patching is critical for safeguarding an enterprise's software ecosystem from cyber attacks. However, patching requires adequate preparation for potential system down…
Hidden Amplifiers: Cross-Level Risk in Software Supply Chains
Rakesh Podder, Rafael Fabian Gonzalez Arellano, Indrajit Ray
Modern software supply chains comprise hundreds of transitive dependencies, yet existing analysis tools operate at either the ecosystem level (dependency graphs) or the code level…
i-EXAM: Instructable and Explainable Attack Connectivity Graph Modeler
Rakesh Podder, Wadia Ganim, Sarath Sreedharan +2
i-EXAM is a planning-powered tool that helps system administrators to create security profiles of complex networks and perform what-if analyses to identify network hardening strate…
SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs
Rakesh Podder, Turgay Caglar, Shadaab Kawnain Bashir +3
Graph-based frameworks are often used in network hardening to help a cyber defender understand how a network can be attacked and how the best defenses can be deployed. However, inc…
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks
Rakesh Podder, Sudipto Ghosh
Autonomous vehicle navigation and healthcare diagnostics are among the many fields where the reliability and security of machine learning models for image data are critical. We con…