Results 71 to 80 of about 1,192 (212)
Resisting Quantum Key Distribution Attacks Using Quantum Machine Learning
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.Quantum key distribution (QKD) promises secure communication but remains vulnerable to advanced quantum attacks. We propose a hybrid quantum long short‐term memory (QLSTM) model that combines quantum‐enhanced learning with classical deep learning to detect attacks such as photon‐number splitting, Trojan‐Horse and detector blinding.
Ali Al‐Kuwari +4 more
wiley +1 more source
Review of machine learning based hardware Trojan detection methods
, 2019 As integrated circuit (IC) design gets more complicated, outsourcing parts of the IC design and fabrication is commonly applied to simplify the production and reduce the cost.
Kok, C. H. +4 more
core
MERO: A Statistical Approach for Hardware Trojan Detection [PDF]
, 2009 In order to ensure trusted in---field operation of integrated circuits, it is important to develop efficient low---cost techniques to detect malicious tampering (also referred to as Hardware Trojan ) that causes undesired change in functional behavior.
Rajat Subhra Chakraborty +4 more
openaire +1 more source
Quantum Key Distribution Networks Design: Overview and Challenges
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.This paper explores the potential of using established QKD network design techniques in the context of quantum key distribution, which is based on the principles of quantum mechanics. ABSTRACT Quantum cryptography has increasingly attracted interest from both industry and academia for its potential in real‐world applications.
Pankaj Kumar +2 more
wiley +1 more source
Device‐Independent Quantum Key Distribution: Protocols, Quantum Games and Security
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.Device‐independent quantum key distribution (DIQKD) removes the need to trust internal device behaviour by certifying security through Bell‐inequality violations, thereby closing practical loopholes in conventional QKD. This paper systematically reviews DIQKD foundations (Bell tests and security definitions), protocol frameworks (CHSH‐based and ...
Syed M. Arslan +3 more
wiley +1 more source
, 2015 Includes bibliographical references (leaves 45-46)Chip design and fabrication is becoming increasingly vulnerable to malicious activities and alternations with globalization. An adversary can introduce a Trojan designed to disable and/or destroy a system
Krishnan, Sunumani
core
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.QuantumShield integrates quantum key distribution (QKD) with software‐defined networking (SDN) to provide information‐theoretic security for IoT systems. The framework enhances the BB84 protocol with adaptive QBER thresholding, achieving 97.2% attack detection accuracy and computational infeasibility against brute‐force attempts.
Raied Ibrahim +2 more
wiley +1 more source
A Side Channel Delay Analysis for Hardware Trojan Detection
, 2020 This research proposal introduces a learning assisted modeling technique for the purpose of Hardware Trojan detection. Our proposed model, unlike the prior art, does not require a Golden fabricated chip as a fingerprint to compare the side channel ...
Vakil, Ashkan
core +2 more sources
IEEE AccessThe globalization of the semiconductor industry introduces vulnerabilities like hardware Trojans that compromise hardware security and pose serious risks to critical applications such as military and medical systems. Traditional hardware Trojan detection
Rama Devi Maddineni, Deepak Ch
doaj +1 more source
A neural network framework based on ConvNeXt for side-channel hardware Trojan detection
ETRI JournalResearchers in the field of hardware security have been dedicated to the study of hardware Trojan detection. Among the various approaches, side-channel detection methods are widely used because of their high detection accuracy and fewer constraints ...
Yuchan Gao +4 more
doaj +1 more source