Towards efficient on-chip communication: A survey on silicon nanophotonics and optical networks-on-chip

UU Nisa, J Bashir - Journal of Systems Architecture, 2024 - Elsevier
Silicon nanophotonics, with its high-speed, low-loss optical interconnects, and high
computation capabilities, is seen as one of the promising technologies that can easily …

Wireless Network-on-Chip Security Review: Attack Taxonomy, Implications, and Countermeasures

L Kondoth, R Shankaran, QZ Sheng, R Han - IEEE Access, 2023 - ieeexplore.ieee.org
Network-on-chip (NoC) is a critical on-chip communication framework that underpins high-
performance multicore computing and network system architectures. Its adoption has …

A comprehensive framework for systemic security management in NoC-based many-cores

RF Faccenda, G Comarú, LL Caimi, FG Moraes - IEEE Access, 2023 - ieeexplore.ieee.org
Many-core Systems-on-Chip (MCSoC) are increasingly used in various applications
domains such as high-performance computing, embedded systems, and Internet of Things …

Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study

S Wang, H Yan, KE Isaacs, Y Sun - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Visualization design studies bring together visualization researchers and domain experts to
address yet unsolved data analysis challenges stemming from the needs of the domain …

Modelling and impact analysis of antipode attack in bufferless on-chip networks

RG Kunthara, VR Josna, K Neethu, RK James… - SN Computer …, 2023 - Springer
With advancements in VLSI technology, Tiled Chip Multicore Processors (TCMP) with packet
switching Network-on-Chip (NoC) have evolved as the backbone of modern data intensive …

PPAuth: A Privacy-Preserving Framework for Authentication of Digital Image

R Jena, P Singh, M Mohanty - … on Cyber Security, Cryptology, and Machine …, 2023 - Springer
Deep learning has been widely applied in many computer vision applications with
remarkable success. Most of these techniques improve extraction of features from the …

A Machine Learning Approach for Traffic Anomaly Detection in NoC-based Manycores

AE Dal Zotto, FG Moraes - 2024 37th SBC/SBMicro/IEEE …, 2024 - ieeexplore.ieee.org
NoC-based manycores are increasingly vulnerable to traffic anomalies, which can
compromise the performance and security of these systems. Early proposals to detect traffic …

Security and Privacy

O Prakash, S Das, SL Das, SK Jaganathan… - Machine Learning for … - taylorfrancis.com
Applications related to security and privacy have made machine learning popular during the
past 10 years. With the current volumes of so-called big data, manual processing is difficult …