Defense against On-Chip Trojans Enabling Traffic Analysis Attacks based on Machine Learning and Data Augmentation

Modern computing systems involve huge data exchange across various sections of the processing system. To facilitate this, Network-on-Chip (NoC) serve as a crucial infrastructure that connect the processing cores to memory, peripherals, etc. The system could be put at great risk should the NoC system...

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Veröffentlicht in:	IEEE transactions on computer-aided design of integrated circuits and systems 2023-12, Vol.42 (12), p.1-1
Hauptverfasser:	Dhavlle, Abhijitt, Ahmed, M Meraj, Mansoor, Naseef, Basu, Kanad, Ganguly, Amlan, P D, Sai Manoj
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Neural Network (ANN) Data augmentation Data exchange Data models Embedding Generative Adversarial Network (GAN) Generative adversarial networks Hardware Hardware Trojan (HT) Machine learning Machine Learning (ML) Microprocessors Network-on-Chip (NoC) Obfuscation Payloads Pipeline design Pipelining (computers) Privacy Routing Security Simulated annealing System on chip Traffic analysis Traffic control Trojan horses
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