Results 61 to 70 of about 1,852 (218)

Cybersecurity Driven Quantum Digital Twin for Proactive Threat Reversal in Open RAN

IET Quantum Communication, Volume 7, Issue 1, January/December 2026.
This paper presents a novel cybersecurity‐driven quantum digital twin (CQDT) architecture for proactive defence in 6G Open RAN. By integrating quantum observables and reinforcement learning, the framework maintains high fidelity and suppresses entropy under adversarial CPTP noise. CQDT achieves real‐time adaptation with sub‐20 ms latency, meeting URLLC
Yassir Al‐Karawi, Raad S. Alhumaima, Hamed Al‐Raweshidy   +2 more
wiley   +1 more source

Implementing Trojan-Resilient Hardware from(Mostly) Untrusted Components Designed by Colluding Manufacturers

, 2018
At CCS2016,Dziembowski et al.proved the security of a generic compilerable to transform any circuit into a Trojan-resilient one base dona(necessary)number of trusted gates.
Faust, Sebastian, 2018 Workshop on Attacks and Solutions in Hardware Security (ASHES@CCS 2018), Bronchain, Olivier, Standaert, François-Xavier, Dassy, Louis   +4 more
core   +1 more source

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, Noureldin Mohamed, Saif Al‐Kuwari, Ahmed Farouk, Bikash K. Behera   +4 more
wiley   +1 more source

Hardware Trojan Detection Using Controlled Circuit Aging

IEEE Access, 2020
This paper reports a novel approach that uses transistor aging in an integrated circuit (IC) to detect hardware Trojans. When a transistor is aged, it results in delays along several paths of the IC.
Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Kanad Basu, Jorg Henkel, Ramesh Karri, Farshad Khorrami   +6 more
doaj   +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, Neel Kanth Kundu, Binayak Kar   +2 more
wiley   +1 more source

Auditoria unificada em módulos de segurança criptográfica [PDF]

, 2013
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2013Este trabalho tem como objetivo tornar a detecção da causa de ataques em HSMs uma informação de ...
Bereza Júnior, André
core  

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, Saif Al‐Kuwari, M. T. Rahim, Hashir Kuniyil   +3 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., Choo, H. S., Ooi, C. Y., Ismail, N., Inoue, M.   +4 more
core  

PRISTINE: An Emulation Platform for PCB-Level Hardware Trojans

IEEE Access
Printed circuit Boards (PCBs) are becoming increasingly vulnerable to malicious design alteration, also known as Trojan attacks, due to a distributed business model that often involves various untrusted parties.
Junjun Huan, Shubhra Deb Paul, Soumyajit Mandal, Swarup Bhunia   +3 more
doaj   +1 more source

AI‐Powered Defense: Leveraging Deep Learning for Effective Malware Detection

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Traditional malware detection techniques frequently fail to detect and stop malicious activity in an era where cyber threats are becoming more complex. Any software that enters a computer system without the administrator’s consent is considered malicious software.
Nancy Awadallah Awad, Dimitrios A. Karras   +1 more
wiley   +1 more source