Results 111 to 120 of about 7,019 (217)

A Dynamic Phishing URL Detection System Integrating Advanced Machine Learning and Crowdsourced Threat Intelligence

IEEE Access
Phishing remains a critical and evolving threat in the cybersecurity landscape, consistently exploiting human factors to bypass technical defenses. This paper proposes a dynamic phishing detection framework that integrates Artificial Intelligence (AI ...
Layan Aldhuwayhi, Arwa Alromih
doaj   +1 more source

Towards a Multi-Layered Phishing Detection. [PDF]

Sensors (Basel), 2020
Rendall K, Nisioti A, Mylonas A.
europepmc   +1 more source

Development of Phishing Detection Modules: Study, Analysis, and Implementation

reservedQuesto documento descrive l'attività svolta da Leonardo Lago durante il suo stage interno presso l'Università degli Studi di Padova, della durata di circa trecentoventi ore iniziato il 6 Maggio 2024 e conclusosi il 28 Giugno 2024. L'attività è
LAGO, LEONARDO
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Spear Phishing Attack Detection

, 2011
This thesis addresses the problem of identifying email spear phishing attacks, which are indicative of cyber espionage. Spear phishing consists of targeted emails sent to entice a victim to open a malicious file attachment or click on a malicious link ...
Merritt, David T.
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A collaborative human-AI approach to mitigate phishing attacks [PDF]

Phishing involves sending fraudulent emails with links or attachments that can contain malware or trick users into revealing sensitive information or transferring money.
Saka, Tarini
core   +1 more source

Phishing Defense: A Machine Learning System and its Impact at Workplace

The usage of the internet and improvement in technologies have resulted in recent forms of cybercrimes that mostly affect organizations. Most common among these is phishing, a process wherein fraudsters attack through emails and websites to extract ...
Aman Poddar
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Detection of Phishing Webpages

, 2008
An approach to detection of phishing webpages based on visual similarity is proposed, which can be utilized as a part of an enterprise solution for anti-phishing.
Based On Visual, Guanglin Huang, Xiaotie Deng, Zhang Min, Liu Wenyin, Liu Xiaoyue   +5 more
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Phishing Detection Techniques: A review

Phishing remains one of the most pervasive and sophisticated threats to cybersecurity, exploiting human and system vulnerabilities to compromise sensitive information.
Abdolrazzagh-Nezhad, Majid, Langarib, Nafise   +1 more
core  

The roles of phishing knowledge, cue utilization, and decision styles in phishing email detection

Available online 9 May 2024This study investigated the roles of phishing knowledge, cue utilization, and decision styles in contributing to phishing email detection.
Sturman, D., Breakey, G.R., Wiggins, M.W., Bell, E.A., Auton, J.C.   +4 more
core   +1 more source

Explainable Machine Learning for Phishing Site Detection: A High‐Efficiency Approach Using Boosting Models and SHAP

The Journal of Engineering
Nowadays, a wide range of electronic devices are being connected through the internet, and a wide range of cybercrimes are being coordinated. Phishing is one of the most serious online crimes.
Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Md. Nur ‐A‐Alam, Rafid Mostafiz   +4 more
doaj   +1 more source