Currently, machine learning (ML) techniques are at the heart of smart cyber-physical systems (CPSs) and Internet-of-Things (loT). This article discusses various challenges and …
A Dhavlle, R Hassan, M Mittapalli… - … on Circuits and …, 2021 - ieeexplore.ieee.org
The ever-increasing demand for sophisticated cyber-physical systems (CPS), combined with the fabless model, led to vulnerability exploits in the IC supply chain, especially the insertion …
V Venceslai, A Marchisio, I Alouani… - … Joint Conference on …, 2020 - ieeexplore.ieee.org
Due to their proven efficiency, machine-learning systems are deployed in a wide range of complex real-life problems. More specifically, Spiking Neural Networks (SNNs) emerged as …
Traditional learning-based approaches for runtime hardware Trojan (HT) detection require complex and expensive on-chip data acquisition frameworks, and thus incur high area and …
S Rajendran, ML Regeena - IEEE Transactions on Computer …, 2021 - ieeexplore.ieee.org
Malicious alteration in an IC design is generally referred to as hardware Trojans (HTs). The involvement of multiple entities in the VLSI design cycle has made the process of HT …
Performance of the compute-intensive multichip platforms such as micro-servers and embedded systems are limited by the latency and power hungry chip-to-chip …
Static or leakage power, which is especially prominent in advanced technology nodes, enables so-called static power side-channel attacks (S-PSCA). While countermeasures …
This paper proposes an on-the-fly encryption system that consists of a lightweight encryption architecture and a key-exchange algorithm for secure on-chip communications. The …
MM Ahmed, A Vashist, SMP Dinakarrao… - 2020 Asian Hardware …, 2020 - ieeexplore.ieee.org
Compute-intensive platforms such as micro-servers and embedded systems have already undergone a shift from a single-chip to multichip architecture to achieve better yield and …