Results 61 to 70 of about 204,072 (197)

Exploiting Vision Transformer and Ensemble Learning for Advanced Malware Classification

Engineering Reports, Volume 8, Issue 1, January 2026.
Overview of the proposed RF–ViT ensemble for multi‐class malware classification. Textual (BoW/byte‐frequency) and visual representations are combined via a product rule, achieving improved accuracy and robustness over individual models. ABSTRACT Malware remains a significant concern for modern digital systems, increasing the need for reliable and ...
Fadi Makarem, Rida El Chall, Abed Ellatif Samhat, Khouloud Samrouth, Nader Bakir   +4 more
wiley   +1 more source

Addressing Phishing Threats Using a Metaheuristic Perspective on Machine Learning Classification Models Code

Journal of Applied Science and Engineering
Web phishing attacks have emerged as a significant threat to online security, enabling phishers to steal sensitive financial information and commit fraud.
Bo Hu, SaiNan Zhang
doaj   +1 more source

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, Adebayo Omotosho, Hamed Balogun   +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

An application for predicting phishing attacks: A case of implementing a support vector machine learning model

Cyber Security and Applications
The imminent threat that phishing websites poses is a major concern for internet users worldwide. These fraudulent websites are crafted by cyber attackers to appear trustworthy and deceive vulnerable users into divulging confidential data like medical ...
Emmanuel Song Shombot, Gilles Dusserre, Robert Bestak, Nasir Baba Ahmed   +3 more
doaj   +1 more source

DeltaPhish: Detecting Phishing Webpages in Compromised Websites [PDF]

, 2017
Preprint version of the work accepted at ESORICS ...
Corona, Igino, Biggio, Battista, Contini, Matteo, Piras, Luca, Corda, Roberto, Mereu, Mauro, Mureddu, Guido, Ariu, Davide, Roli, Fabio   +8 more
openaire   +5 more sources

Cipher‐Guard: A Machine Learning Model for Adaptive and Context‐Aware Password Security

IET Information Security, Volume 2026, Issue 1, 2026.
This research aims to enhance password security by designing, training and testing Cipher‐Guard, a machine learning (ML) algorithm that incorporates complex features and techniques derived from proven feature engineering. The current model is inherently built on the equations of mathematical modelling concerning complexity metrics of passwords and ...
Mohammed Naif Alatawi, Xueqin Liang
wiley   +1 more source

Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers

IEEE Access
Phishing is an electronic fraud through which an attacker can access user credentials. Phishing websites are the ones that mimic legitimate websites. Fraudsters can replace them within hours to evade their detection.
Manu J. Pillai, S. Remya, V. Devika, Somula Ramasubbareddy, Yongyun Cho   +4 more
doaj   +1 more source

A Systematic Literature Review of Information Security Practices in Higher Education Contexts

IET Information Security, Volume 2026, Issue 1, 2026.
Information security in institutions of higher learning is a persistent challenge that requires immediate attention. The plethora of reported information security breaches in higher education institutions (HEIs) corroborates this. This study reviews 358 articles from reputable journals and databases, synthesized following the preferred reporting items ...
Keefa Bwiino, Geoffrey Kituyi Mayoka, Lawrence Nkamwesiga, Makafui Nyamadi, Paria Shirani   +4 more
wiley   +1 more source

Opportunities or Threats: Impact of Digital Engagement on Marginalized Women Entrepreneurs

Gender, Work &Organization, Volume 33, Issue 1, Page 164-180, January 2026.
ABSTRACT The paper explores the experiences of social marginalization and discrimination faced by women entrepreneurs, as well as their adoption of digital resources to address these disadvantages. This study employs an interpretive approach; semi‐structured interviews were conducted with 20 women entrepreneurs in Nigeria.
Imaobong James, Tolulope Ibukun, Poh Yen Ng   +2 more
wiley   +1 more source