Results 51 to 60 of about 695 (175)

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

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

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

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

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

IP Soft Core Hardware Trojan Detection Method Based on Grayscale Graph Analysis [PDF]

Jisuanji gongcheng
With the refinement of the division of labor in chip design, manufacturing, and packaging processes, the use of third-party Intellectual Property(IP) soft cores for secondary development can significantly improve design efficiency and reduce duplication ...
Lin NI, Zihui LIU, Shuai ZHANG, Jiujiang HAN, Ming XIAN
doaj   +1 more source

Golden Chip-Free Hardware Trojan Detection Using Attention-Based Non-Local Convolution With Simple Recurrent Unit

IEEE Access
The 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

Hardware Trojan detection method based upon XGBoost model

Dianzi Jishu Yingyong, 2019
This paper proposed a hardware Trojan detection method based upon XGBoost(eXtreme Gradient Boosting) model by using the analysis results of ring oscillator network, and used the cross-validation method to optimize the model.
Gao Hongbo, Li Lei, Zhou Wanting, Xiang Yiyao   +3 more
doaj   +1 more source

A Cost-Driven Method for Deep-Learning-Based Hardware Trojan Detection. [PDF]

Sensors (Basel), 2023
Dong C, Yao Y, Xu Y, Liu X, Wang Y, Zhang H, Xu L.   +6 more
europepmc   +1 more source