Results 71 to 80 of about 204,072 (197)

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

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, Dimitrios A. Karras   +1 more
wiley   +1 more source

Identifying key features for phishing website detection through feature selection techniques

Frontiers in Computer Science
Over 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, Mohammad BaniSalman, Khaled E. Alqawasmi, Ali Abu Zaid, Yousuf Hazaimeh, Fuad Sameh Alshraiedeh, Emma Qumsiyeh   +6 more
doaj   +1 more source

Unlocking the Mediating and Moderating Role of Information Security in Information Systems: A Combined TAM, ISM, and HBM Model

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, Mohammad Rakibul Islam Bhuiyan, Syed Hasibul Islam, Mst. Nowshin Tabassum, Motasim Billah, Stephen Gbenga Fashoto   +5 more
wiley   +1 more source

PhishingWebCollector: Async python library for automated phishing feed collection

SoftwareX
Website 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

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, Kyle Haefner, Indrakshi Ray   +2 more
openaire   +2 more sources

Evolving Technology Use and Embeded Security Practices Among Finnish Adolescents: A Longitudinal Study

Human Behavior and Emerging Technologies, Volume 2026, Issue 1, 2026.
The study examines Finnish adolescents′ evolving technology use and security practices across two survey waves conducted in 2018 and 2020. Adopting a longitudinal trend perspective, the study explores how adolescents′ engagement with digital devices, services, and security‐related behaviors evolved over time, without attributing observed changes to a ...
Ali Farooq, Naurin Farooq Khan, Tahani Z. Aldahdouh, Reham Al Tamime, Niko Männikkö, Seppo Virtanen, Jouni Isoaho, Hua Pang   +7 more
wiley   +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, Juan Antonio López-Ramos, Richard Murray   +2 more
wiley   +1 more source

To deceive or not to deceive! Legal implications of phishing covert research

, 2013
Whilst studying mobile users' susceptibility to phishing attacks, we found ourselves subject to regulations concerning the use of deception in research. We argue that such regulations are misapplied in a way that hinders the progress of security research.
Sugiura, Lisa
core   +1 more source

A Hybrid Framework for Improved Weighted Quantum Particle Swarm Optimization and Fast Mask Recurrent CNN to Enhance Phishing-URL Prediction Performance

International Journal of Computational Intelligence Systems
Phishing websites are cybercrimes that aim to collect confidential data, including bank card numbers, bank accounts, and credentials. To detect phishing sites, specialists must extract the elements of the websites and utilize third-party resources.
S. Senthil Kumar, Prakash Muthusamy, M. Paul Arokiadass Jerald   +2 more
doaj   +1 more source