Results 61 to 70 of about 9,623 (197)

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

Using outliers to detect stealthy hardware trojan triggering? [PDF]

2016 1st IEEE International Verification and Security Workshop (IVSW), 2016
Hardware Trojans (HTs) are malicious alterations to a circuit introduced at design or manufacturing phases by an adversary. Due to their diversity, detecting and/or locating them are challenging tasks. Among the different kinds of detection methods, methods based on logic testing aim to reveal the presence of HTs thanks to their logical activation and ...
Ba, Papa-Sidy, Dupuis, Sophie, Flottes, Marie-Lise, Di Natale, Giorgio, Rouzeyre, Bruno   +4 more
openaire   +2 more sources

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

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

Triggered Hardware Trojan Detection in IP Cores for Ensuring Safety in Cyber Physical Systems

Chips
Cyber physical systems (CPSs) increasingly depend on complex hardware IP cores to perform critical functions. However, triggered hardware Trojans’ stealthy, malicious modifications activated under rare conditions pose significant threats to the safety ...
Mahfuzur Rahman Talukder, Md. Eftekhar Alam, Abu Monsur Mohammah Fahim, Fakir Sharif Hossain   +3 more
doaj   +1 more source

Neural Trojans

, 2017
While neural networks demonstrate stronger capabilities in pattern recognition nowadays, they are also becoming larger and deeper. As a result, the effort needed to train a network also increases dramatically. In many cases, it is more practical to use a
Liu, Yuntao, Srivastava, Ankur, Xie, Yang   +2 more
core   +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, Saif Al‐Kuwari, M. T. Rahim, Hashir Kuniyil   +3 more
wiley   +1 more source

Creation of backdoors in quantum communications via laser damage

, 2016
Practical quantum communication (QC) protocols are assumed to be secure provided implemented devices are properly characterized and all known side channels are closed. We show that this is not always true.
Bourgoin, Jean-Philippe, Chaiwongkhot, Poompong, Gagné, Mathieu, Jennewein, Thomas, Kaiser, Sarah, Kashyap, Raman, Legré, Matthieu, Makarov, Vadim, Minshull, Carter, Sajeed, Shihan   +9 more
core   +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

Hardware Trojans detection based on projection pursuit

Tongxin xuebao, 2013
A novel hardware Trojans detection technique using the side channel signals of chips was proposed.Based on the projection pursuit with absolute information divergence index,this technique could find out the data structure enables reflect high dimension ...
Peng ZHANG, Xin-cheng WANG, Qing ZHOU
doaj   +2 more sources