0% Complete
Home
/
12th International Conference on Computer and Knowledge Engineering
Robustness Scan of Digital Circuits Using Convolutional Neural Networks
Authors :
Mobin Vaziri
1
Mohammad Mehdi Rahimifar
2
Hadi Jahanirad
3
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
Recommending Popular Locations Based on Collected Trajectories
Mohammad Rabbani bidgoli - Saber Ziaei
Leveraging a structure-based and learning-based predictor using various feature groups in bioinformatics (case study: protein-peptide region residue-level interaction)
Shima Shafiee - Abdolhossein Fathi
YOLOatt-Med: YOLO-Based Attention Mechanism for Medical Image Classification
Fatemeh Naserizadeh - Erfan Akbarnezhad Sany - Parsa Sinichi - Seyyed Abed Hosseini
BERT transformers Multitask learning Sarcasm and Sentiment classification (BMSS)
Fatemeh Molavi - Jamshid Bagherzadeh Mohasefi
Hybrid Flow-Rule Placement Method of Proactive and Reactive in SDNs
Mohammadreza Khoobbakht - Mohammadreza Noei - Mohammadreza Parvizimosaed
Compressing Deep Neural Networks Using Explainable AI
Kimia Soroush - Mohsen Raji - Behnam Ghavami
Decentralized Federated Learning in IoT Environments: A Hierarchical Approach
Majid Mohammadpour - Seyedakbar Mostafavi
FarSick: A Persian Semantic Textual Similarity And Natural Language Inference Dataset
Zahra Ghasemi - Mohammad Ali Keyvanrad
Designing a High Perfomance and High Profit P2P Energy Trading System Using a Consortium Blockchain Network
Poonia Taheri Makhsoos - Behnam Bahrak - Fattaneh Taghiyareh
more
Samin Hamayesh - Version 41.3.1