This paper proposes training a single neural network using EM traces collected from multiple probe positions to detect cryptographic leakage across a larger area of a target device, validated by cross…

The paper introduces SCAgent, an automated framework that uses LLM-assisted agents to systematically discover, analyze, and assess side-channel leakage risks in complex systems like iOS, moving beyond…

TriSweep proposes a novel four-drone swarm framework for autonomous, standoff electromagnetic side-channel analysis, achieving high key rank recovery even with significant signal degradation and jitte…

The paper proposes 'mimetic deception,' a novel IP camouflaging technique that structurally disguises a functional IP as a different appearance IP, thereby thwarting both structural reverse engineerin…

The paper analyzes existing hardware Trojan datasets to demonstrate that standard cell libraries can be systematically exploited to create visually undetectable, stealthy hardware Trojans, exemplified…

This paper surveys the use of hardware emulation for security verification in System-on-Chip (SoC) design, positioning emulation as a critical, high-fidelity pre-silicon assurance technology.

The paper proposes a hardware-efficient compound IC protection mechanism that combines lightweight cryptography with logic locking and hardware obfuscation to secure integrated circuits against variou…

CIPHR introduces a novel, fine-grain hardware redaction methodology inspired by cryptographic indistinguishability to protect intellectual property against structural attacks that exploit existing art…

The paper demonstrates that the Brazilian e-Voting Machine interface generates a simple and highly distinctive electromagnetic spectral signature, raising significant concerns about its susceptibility…

This paper proposes a lightweight, multi-layer Machine Learning-based security framework for Industrial IoT (IIoT) to enhance trust convergence and detect advanced threats.

This paper surveys information-theoretic approaches to secure Integrated Sensing and Communication (ISAC), providing a comprehensive review of models, security formulations, and fundamental limits.

This survey reviews hardware-rooted trust mechanisms, such as PUFs and TPMs, demonstrating that hardware-based solutions are superior to software-only methods for ensuring secure authentication and AI…

This paper evaluates the security of industrial control systems (ICS) transitioning to 5G communication, finding that while optimal conditions allow for resilience, degraded channel conditions signifi…

This paper presents SCP, a cache partitioning design that combines strict eviction isolation with write-shared coherence to mitigate eviction-based cache side channels.

The paper introduces PINSIGHT, a novel methodology that rigorously assesses Wi-Fi PIN code inference attacks by separating environmental effects from typing effects, concluding that current state-of-t…

This paper evaluates the security of Universal Circuits (UCs) for hardware obfuscation, demonstrating that they are effective against both oracle-guided and oracle-less attacks.

The paper introduces CIPL, a unified channel-oriented framework, demonstrating that privacy leakage in LLM agents is governed by observable data channels and pipeline interactions, rather than being l…

The paper presents a combined Side-Channel Analysis (SCA) and laser illumination attack against an Elliptic Curve Scalar Multiplication accelerator, demonstrating that while laser illumination increas…

This review analyzes the dual impact of integrating Large Language Models (LLMs) into hardware design, detailing both their transformative potential in EDA and the critical security vulnerabilities th…

This paper introduces a dual-layer side-channel attack framework that exploits the variable workload introduced by dynamic image preprocessing in local Vision-Language Models (VLMs) to infer sensitive…