Research Areas
Biography and Research Information
OverviewAI-generated summary
Hunter Nauman's research focuses on the detection of hardware Trojans, a type of malicious circuitry inserted into integrated circuits. His work investigates the use of advanced computational techniques, including graph neural networks and structural checking, to identify these security vulnerabilities. Nauman has published on character reassignment as a method for hardware Trojan detection and explored the application of graph neural networks and structural checking for this purpose.
His research network includes collaborators from the University of Arkansas at Fayetteville, such as Jia Di, Rafael Del Carmen, and Derek Taylor, with whom he has co-authored publications. Nauman's scholarly output, while nascent, demonstrates a focus on cybersecurity within hardware design. His current h-index is 1, with a total of 3 publications and 3 citations.
Metrics
- h-index: 1
- Publications: 3
- Citations: 3
Selected Publications
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Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking (2024)
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Character Reassignment for Hardware Trojan Detection (2021)
Collaboration Network
Top Collaborators
- Character Reassignment for Hardware Trojan Detection
- Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking
- Character Reassignment for Hardware Trojan Detection
- Character Reassignment for Hardware Trojan Detection
- Character Reassignment for Hardware Trojan Detection
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