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Secure Authentication via Quantum Physical Unclonable Functions: A Review
Advanced Quantum Technologies, Volume 9, Issue 1, January 2026.This in‐depth review article examines the origins, development, and evolution of Quantum Physical Unclonable Functions (QPUFs), with a particular focus on their use in secure authentication. The topic is motivated and introduced in detail, addressing both theoretical foundations and practical implementations, and is supported by a systematic article ...
Pol Julià Farré +8 more
wiley +1 more source
Investigation of Phishing Susceptibility with Explainable Artificial Intelligence
Future InternetPhishing attacks represent a significant and growing threat in the digital world, affecting individuals and organizations globally. Understanding the various factors that influence susceptibility to phishing is essential for developing more effective ...
Zhengyang Fan +3 more
doaj +1 more source
Improved Phishing Attack Detection with Machine Learning: A Comprehensive Evaluation of Classifiers and Features [PDF]
, 2023 Sibel Kapan, Efnan Şora Günal
openalex +1 more source
SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley +1 more source
The Role of Health Concerns in Phishing Susceptibility: Survey Design Study
Journal of Medical Internet Research, 2020 BackgroundPhishing is a cybercrime in which the attackers usually impersonate a trusted source. The attackers usually send an email that contains a link that allows them to steal the receiver’s personal information.
Abdelhamid, Mohamed
doaj +1 more source
Anti-phishing as a web-based user service [PDF]
, 2006 This paper describes the recent phenomenon of phishing, in which email messages are sent to unwitting recipients in order to elicit personal information and perpetrate identity theft and financial fraud.
Cranston, C., Weir, G.R.S.
core
Phishing URL Detection and Interpretability With Machine Learning: A Cross‐Dataset Approach
SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.ABSTRACT Phishing attacks pose a significant security threat, particularly through deceptive emails designed to trick users into clicking on malicious links, with phishing URLs often serving as the primary indicator of such attacks. This paper presents a machine learning approach for detecting phishing email attacks by analyzing the URLs embedded ...
Liyan Yi +2 more
wiley +1 more source
Robustness Analysis of Distributed CNN Model Training in Expression Recognition
IET Biometrics, Volume 2026, Issue 1, 2026.Facial expression recognition is vital in pattern recognition and affective computing. With the advancement of deep learning, its performance has improved, yet challenges remain in nonlaboratory environments due to occlusion, poor lighting, and varying head poses.
Jun Li, Jun Wan
wiley +1 more source
, 2018 Phishing, a continuously growing cyber threat, aims to obtain innocent users' credentials by deceiving them via presenting fake web pages which mimic their legitimate targets.
Aydos, Murat +2 more
core +1 more source
Usability Evaluation of a Push‐Based Passwordless Authentication Model Using Public‐Key Cryptography
IET Biometrics, Volume 2026, Issue 1, 2026.Despite major advancements in the sphere of the public‐key authentication specifically in the instances of the newly established standards like WebAuthn and the FIDO2, the practical implementation of the passwordless login systems is still hindered by the usability factors, platform‐related requirements, and the very nature of the deployment process is
Ghulam Mustafa +6 more
wiley +1 more source