International Conference on Computer and Knowledge Engineering

Home / 12th International Conference on Computer and Knowledge Engineering

Robustness Scan of Digital Circuits Using Convolutional Neural Networks

Authors :

Mobin Vaziri¹ Mohammad Mehdi Rahimifar² Hadi Jahanirad³

1- University of Kurdistan 2- Université de Sherbrooke 3- University of Kurdistan

Keywords :

Digital circuits،Machine learning،Neural networks،Hardware Trojans،Circuit's' layout

Abstract :

Hardware Trojan (HT) is a crucial problem in the integrated circuits and digital systems industry, which has many malicious impacts on circuits such as overheating, functionality changes, and information leakage. Although many detection methods have been studied to detect HTs in circuits, a comprehensive vulnerability analysis of digital circuits to HTs has not been investigated yet. This paper presents a novel digital circuits vulnerability analysis to HTs using convolutional neural networks (CNN) with high accuracy. First, we scrutinize vulnerable factors in circuits, and we generate vulnerability heat maps in circuits’ regions. Then, an appropriate neural network architecture is designed. Finally, we employ neural networks to classify different regions vulnerability level. With our approach, vulnerable regions of digital circuits can be classified with 92.5% average accuracy.

Papers List

List of archived papers

Driving Violation Detection Using Vehicle Data and Environmental Conditions

Masood Ghasemi - Mahmood Fathy - Mohammad Shahverdy

An Evolutionary Approach with Surrogate Models for Feature Selection in Intrusion Detection Systems

Sadeq Moradi - Hadi Shahriar Shahhoseini

Identifying novel disease genes based on protein complexes and biological features

Mahshad Hashemi - Eghbal Mansoori

Speech Emotion Recognition Using a Hierarchical Adaptive Weighted Multi-Layer Sparse Auto-Encoder Extreme Learning Machine with New Weighting and Spectral/SpectroTemporal Gabor Filter Bank Features

Fatemeh Daneshfar - Seyed Jahanshah Kabudian

Characterizing Microsatellite Distribution Patterns Across Distinct Gene Categories in Human

Elahe Mehrazin - Mahmoud Naghibzadeh - Sara Jamali

LightFedSelect: A Lightweight Framework for Byzantine-Robust Federated Learning

Seyed Saeed Razavi - Seyed Arsalan Vasegh Rahim Parvar - Soroosh Dadashi Pakdeh - Mohammad Matin Rezaeifard - Morteza Mollaie Chafi - Reza Ebrahimi Atani

TriFuse-PdM: High-Fidelity Machine Failure Prediction Using Hybrid Resampling and Model Calibration

Saghar Shafaati - Javad Mohammadzadeh

Instance Selection from Skewed Class Distributions by Using the multi-objective optimizer

Mona Moradi - Javad Hamidzadeh

Classification of COVID-19 and Nodule in CT Images using Deep Convolutional Neural Network

Amirhossein Ghaemi - Seyyed Amir Mousavi mobarakeh - Habibollah Danyali - Kamran Kazemi

Farsi Text in Scene: A new dataset

Ali Salmasi - Ehsanollah Kabir