Trustworthy Hardware: Identifying and Classifying Hardware Trojans

2010/10/01 by Ramesh Karri, Jeyavijayan Rajendran, Kurt Rosenfeld +1 · 13 citations
Computer Science · Engineering · Neuroscience · #Physical Unclonable Functions (PUFs) and Hardware Security #Integrated Circuits and Semiconductor Failure Analysis #Neuroscience and Neural Engineering

paper · doi:10.1109/mc.2010.299

Abstract

For reasons of economy, critical systems will inevitably depend on electronics made in untrusted factories. A proposed new hardware Trojan taxonomy provides a first step in better understanding existing and potential threats.

Cited by

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• Early Detection of Hardware Trojans Using Neural Controlled Differential Equations and Analysis of Power Traces
• S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design\n Framework to Tackle Unknown Threats -- A Network Theoretic, Learning Approach
• Analysis and Design of Actuation-Sensing-Communication Interconnection\n Structures towards Secured/Resilient Closed-loop Systems
• A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions
• SoK: A Systematic Review of Malware Ontologies and Taxonomies and Implications for the Quantum Era
• TAAL: Tampering Attack on Any Key-based Logic Locked Circuits
• VerilogLAVD: LLM-Aided Rule Generation for Vulnerability Detection in Verilog
• A Zero-overhead Flow for Security Closure
• A Viterbi decoder and its hardware Trojan models: an FPGA-based implementation study. [europepmc]
• Hardware Trojan Mitigation Technique in Network-on-Chip (NoC). [europepmc]

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• Validation of Hardware Security and Trust: A Survey
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