A review of security issues and solutions for precision health in Internet-of-Medical-Things systems

N Li, M Xu, Q Li, J Liu, S Bao, Y Li, J Li… - Security and …, 2023 - sands.edpsciences.org
Precision medicine provides a holistic perspective of an individual's health, including
genetic, environmental, and lifestyle aspects to realize individualized therapy. The …

GNN-RE: Graph Neural Networks for Reverse Engineering of Gate-Level Netlists

L Alrahis, A Sengupta, J Knechtel… - … on Computer-Aided …, 2021 - ieeexplore.ieee.org
This work introduces a generic, machine learning (ML)-based platform for functional reverse
engineering (RE) of circuits. Our proposed platform GNN-RE leverages the notion of graph …

From cryptography to logic locking: A survey on the architecture evolution of secure scan chains

KZ Azar, HM Kamali, H Homayoun, A Sasan - IEEE Access, 2021 - ieeexplore.ieee.org
The availability of access to Integrated Circuits' scan chain is an inevitable requirement of
modern ICs for testability/debugging purposes. However, leaving access to the scan chain …

Review of THz-based semiconductor assurance

J True, C **, N Jessurun, K Ahi… - Optical …, 2021 - spiedigitallibrary.org
Terahertz radiation for inspection and fault detection has been of interest for the
semiconductor industry since the first generation and detection of THz signals. Until recent …

Why is deep learning challenging for printed circuit board (pcb) component recognition and how can we address it?

MA Mallaiyan Sathiaseelan, OP Paradis, S Taheri… - Cryptography, 2021 - mdpi.com
In this paper, we present the need for specialized artificial intelligence (AI) for counterfeit and
defect detection of PCB components. Popular computer vision object detection techniques …

Cybersecurity: Past, present and future

S Alam - arxiv preprint arxiv:2207.01227, 2022 - arxiv.org
The digital transformation has created a new digital space known as cyberspace. This new
cyberspace has improved the workings of businesses, organizations, governments, society …

ChangeChip: A reference-based unsupervised change detection for PCB defect detection

Y Fridman, M Rusanovsky… - 2021 IEEE Physical …, 2021 - ieeexplore.ieee.org
The usage of electronic devices increases, and becomes predominant in most aspects of
life. Surface Mount Technology (SMT) is the most common industrial method for …

PDNPulse: Sensing PCB anomaly with the intrinsic power delivery network

H Zhu, H Shan, D Sullivan, X Guo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The ubiquitous presence of printed circuit boards (PCBs) in modern electronic systems and
embedded devices makes their integrity a top security concern. To take advantage of the …

Circuit design completion using graph neural networks

A Said, M Shabbir, B Broll, W Abbas, P Völgyesi… - Neural Computing and …, 2023 - Springer
Electronic design automation tools are widely used in circuit design and greatly assist
designers in handling the complexities and challenges of circuit design and evaluation …

Refics: A step towards linking vision with hardware assurance

R Wilson, H Lu, M Zhu, D Forte… - Proceedings of the …, 2022 - openaccess.thecvf.com
Hardware assurance is a key process in ensuring the integrity, security and functionality of a
hardware device. Its heavy reliance on images, especially on Scanning Electron Microscopy …