Results 71 to 80 of about 2,301 (212)
AI‐Powered Defense: Leveraging Deep Learning for Effective Malware Detection
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Traditional malware detection techniques frequently fail to detect and stop malicious activity in an era where cyber threats are becoming more complex. Any software that enters a computer system without the administrator’s consent is considered malicious software.
Nancy Awadallah Awad +1 more
wiley +1 more source
Intelligent Visual Similarity-Based Phishing Websites Detection
, 2020 This work proposes an intelligent visual technique for detecting phishing websites. The phishing websites are classified into three categories: very similar, local similar, and non-imitating.
Jiann-Liang Chen +2 more
core +1 more source
Cyber Security and ApplicationsThe 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 +3 more
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 +1 more source
Human Behavior and Emerging Technologies, Volume 2026, Issue 1, 2026.Purpose This study examines the mediating and moderating roles of information security in information systems, focusing on the integration of the Technology Acceptance Model (TAM), Interpretive Structural Model (ISM), and the Health Belief Model (HBM).
Md. Mominul Islam +5 more
wiley +1 more source
Identifying key features for phishing website detection through feature selection techniques
Frontiers in Computer ScienceOver the past few years, phishing has evolved into an increasingly prevalent form of cybercrime, as more people use the Internet and its applications. Phishing is a type of social engineering that targets users' sensitive or personal information.
Raed Alazaidah +6 more
doaj +1 more source
Pentesting LLM Models With an Automated Framework
International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.Artificial intelligence (AI) has become an essential tool in modern cybersecurity, enabling faster and more accurate detection, prevention, and response to threats. Within this landscape, large language models (LLMs) have emerged as versatile systems capable of generating code, providing technical guidance, and automating complex tasks.
Juan Luis López-Delgado +2 more
wiley +1 more source
World-wide cloaking phishing websites detection
, 2017 Most known anti-phishing tools are based in “black-list” system and http headers, but some phishing sites have been used web cloaking technique to avoid possible detection.
Guo, Ziji
core +1 more source
Large Language Models for Security Operations Centers: A Comprehensive Survey
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Security operations centers (SOCs) face escalating challenges from alert fatigue and a critical skills gap, leading to delayed incident response times. Addressing these persistent issues calls for innovative automation and decision‐support approaches.
Ali Habibzadeh +3 more
wiley +1 more source
Predicting Phishing Websites using Neural Network trained with Back-Propagation
, 2013 Phishing is increasing dramatically with the development of modern technologies and the global worldwide computer networks. This results in the loss of customer’s confidence in e-commerce and online banking, financial damages, and identity theft ...
McCluskey, T.L. +2 more
core