Results 61 to 70 of about 2,301 (212)

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

A systematic literature review on phishing website detection techniques

Journal of King Saud University: Computer and Information Sciences, 2023
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain sensitive information from an internet user. In this Systematic Literature Survey (SLR), different phishing detection approaches, namely Lists Based, Visual ...
Asadullah Safi, Satwinder Singh
doaj   +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

Recognition of phishing attacks utilizing anomalies in phishing websites [PDF]

, 2012
The fight against phishing has resulted in several anticipating phishing prevention techniques. However, they are only partially able to address the phishing problem.
CHAUDHARY, SUNIL
core  

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

Detection of Phishing Websites

International Journal of Innovative Science and Research Technology (IJISRT)
Phishing is a cyber attack in which an attacker creates a copy of an existing web page to trick users into submitting personal, financial or password information, making them think that this is the real website that everyone uses. The strategy followed here is an edge server-based anti-phishing algorithm called “Link Guard” uses the property of ...
Avaneesh C S, Varun Ganapathy S, Vasanth E, Ranjeethapriya .   +3 more
openaire   +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

Detecting Phishing URLs Based on a Deep Learning Approach to Prevent Cyber-Attacks

Applied Sciences
Phishing is one of the most widely observed types of internet cyber-attack, through which hundreds of clients using different internet services are targeted every day through different replicated websites.
Qazi Emad ul Haq, Muhammad Hamza Faheem, Iftikhar Ahmad   +2 more
doaj   +1 more source