COTD: Reference-free Hardware Trojan Detection in Gate-level Netlist

Abstract

This paper presents a novel reference-free hardware Trojan detection technique in gate-level net list-based on controllability and observability analyses. Using an unsupervised clustering analysis, the paper shows that the controllability and observability characteristics of Trojan signals present significant inter-cluster distance from those of genuine signals in a Trojan-inserted circuit such that Trojan signals are easily distinguishable.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2017
Accession Number
AD1041368

Entities

People

  • Hassan Salmani

Organizations

  • Howard University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Clustering
  • Computational Complexity
  • Detection
  • Intellectual Property
  • Learning
  • Machine Learning
  • Recovery
  • Reliability
  • Switching
  • Two Dimensional
  • Unsupervised Machine Learning

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.