Results 81 to 90 of about 3,253,884 (197)

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

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

ChatPhishDetector: Detecting Phishing Sites Using Large Language Models

IEEE Access
Large Language Models (LLMs), such as ChatGPT, are significantly impacting various fields. While LLMs have been extensively studied for code generation and text synthesis, their application in detecting malicious web content, particularly phishing sites,
Takashi Koide, Hiroki Nakano, Daiki Chiba   +2 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, Juan Antonio López-Ramos, Richard Murray   +2 more
wiley   +1 more source

A Survey of Website Phishing Detection Techniques [PDF]

, 2018
This article surveys the literature on website phishing detection. Web Phishing lures the user to interact with the fake website. The main objective of this attack is to steal the sensitive information from the user.
, Zinal Shukla, Kirtirajsinh Zala, Riddhi
core  

Intelligent phishing website detection system using fuzzy techniques [PDF]

, 2008
YesPhishing websites are forged web pages that are created by malicious people to mimic web pages of real websites and it attempts to defraud people of their personal information.
Hossain, Alamgir, Keshav Dahal, Aburrous, Maher, Dahal, Keshav P., Fadi Thabatah, Hossain, M. Alamgir, Aburrous, Maher R., Thabatah, F., Dahal, Keshav, M. A. Hossain, Maher Aburrous, Thabtah, Fadi   +11 more
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, Farid Feyzi, Reza Ebrahimi Atani, Kusum Verma   +3 more
wiley   +1 more source

Phishing Website Detection Using Website Logo [PDF]

, 2019
Phishing is an online security threat that combines social engineering and website deceiving technique to steal internet users’ confidential credential. In order to protect internet users from phishing attacks, a hybrid phishing detection method has been
Chang, Ee Hung
core  

Assessing the role of conceptual knowledge in an anti-phishing game [PDF]

, 2014
Copyright @ 2014 IEEE. This is the author accepted version of this article.Games can be used to support learning and confidence development in several domains, including the secure use of computers.
Nalin Asanka Gamagedara Arachchilage, Scott, MJ, Michael James Scott, Ghinea, G, Arachchilage, NAG, Ghinea, Gheorghita, Gheorghita Ghinea, Scott, Michael, Arachchilage, Nalin   +8 more
core   +1 more source

A Review of Automatic Identification System Approaches for Maritime Cyber Security

Security and Communication Networks, Volume 2026, Issue 1, 2026.
The Automatic Identification System (AIS) has become a cornerstone of modern maritime navigation, traffic management, and situational awareness, enabling continuous exchange of vessel identity, position, speed, and voyage‐related information across global maritime networks. While AIS significantly enhances navigational safety and operational efficiency,
S. M. Ashfaq Uz Zaman, Faizan Qamar, Masnizah Mohd, Nur Hanis Sabrina Suhaimi, Amith Khandakar, Nadeem Sarwar   +5 more
wiley   +1 more source