Results 71 to 80 of about 3,253,884 (197)
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
A mobile sensing method to counteract social media website impersonation
International Journal of Distributed Sensor Networks, 2016 Phishing is a serious threat to online users, especially since attackers have tremendously improved their techniques in impersonating important websites. With websites looking visually the same, users are fooled more easily.
Mohamed Y ELMassry, Ahmad S AlMogren
doaj +1 more source
Improving Auto-Detection of Phishing Websites using Fresh-Phish Framework
International Journal of Multimedia Data Engineering and Management, 2020 Denizens of the Internet are under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials compromising both their privacy and security.
Hossein Shirazi +2 more
openaire +2 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
PhishingWebCollector: Async python library for automated phishing feed collection
SoftwareXWebsite phishing represents a significant cyber threat, where attackers create fraudulent websites that imitate legitimate sites to deceive users. Continuous monitoring and detection of malicious websites are crucial for mitigating this threat.
Damian Frąszczak, Edyta Frąszczak
doaj +1 more source
Detection of Phishing websites using Generative Adversarial Network [PDF]
2019 IEEE International Conference on Big Data (Big Data), 2019 Phishing is typically deployed as an attack vector in the initial stages of a hacking endeavour. Due to it low-risk rightreward nature it has seen a widespread adoption, and detecting it has become a challenge in recent times. This paper proposes a novel means of detecting phishing websites using a Generative Adversarial Network.
Robic–Butez, Pierrick, Win, Thu Yein
openaire +2 more sources
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 +4 more
wiley +1 more source
REVIEW OF MODELLING APPROACHES FOR WEBSITE-RELATED PREDICTIONS
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ŚrodowiskaThis paper researches various modelling approaches for website-related predictions, offering an overview of the field. With the ever-expanding landscape of the World Wide Web, there is an increasing need for automated methods to categorize websites ...
Patryk Mauer
doaj +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 +2 more
wiley +1 more source