Results 81 to 90 of about 7,019 (217)

A sample phishing email item from the phishing detection task.

, 2018
A sample phishing email item from the phishing detection task.
Judy Kay (5900321), Marvin K. H. Law (5171993), Sabina Kleitman (680036)   +2 more
core   +1 more source

Phish-Master: Leveraging Large Language Models for Advanced Phishing Email Generation and Detection

Applied Sciences
Phishing emails present a significant and persistent cybersecurity threat to individuals and organizations globally due to the difficulty in detecting these malicious messages. Large Language Models (LLMs) have inadvertently intensified this challenge by
Weihong Han, Junyi Zhu, Chenhui Zhang, Zhiqiang Zhang, Yangyang Mei, Le Wang   +5 more
doaj   +1 more source

Capturing Adults' Familiarity With Financial Fraud: Relationships With Targeting, Engagement, and Victimization

Journal of Consumer Affairs, Volume 60, Issue 2, Summer 2026.
ABSTRACT According to the Federal Trade Commission, consumers lost $12.8 billion to fraud in 2024, with actual losses estimated to be as high as $196 billion. Research on financial fraud knowledge is scant, limiting development of effective protection tools.
Duygu Başaran Şahin, Olivia Valdes, Gary R. Mottola, Andrew M. Parker, Kelly Hyde, Sierra Smucker, Emily Hoch   +6 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., Mohammad, Rami, Thabtah, Fadi   +2 more
core  

FedPhishLLM: A privacy-preserving and explainable phishing detection mechanism using federated learning and LLMs

Journal of King Saud University: Computer and Information Sciences
Phishing attacks remain a significant cybersecurity threat, exploiting social engineering techniques to deceive users and steal sensitive information.
Wenhao Li, Selvakumar Manickam, Yung-Wey Chong   +2 more
doaj   +1 more source

Impact of detection accuracy rates on phishing email spikes: Towards more effective mitigation

Phishing is a common cyber-attack technique where a criminal pretending to be a trusted entity sends a message either soliciting assistance, or requesting bank or credit card details with promises that usually turn out to be a hoax.
Adewumi, Sunday Eric, Ani, Uchenna Daniel   +1 more
core   +1 more source

Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning

Frontiers in Computer Science
IntroductionThe dynamic and sophisticated nature of phishing attacks, coupled with the relatively weak anti-phishing tools, has made phishing detection a pressing challenge.
Maruf A. Tamal, Md K. Islam, Touhid Bhuiyan, Abdus Sattar, Nayem Uddin Prince   +4 more
doaj   +1 more source

Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism

IEEE Access, 2019
The phishing email is one of the significant threats in the world today and has caused tremendous financial losses. Although the methods of confrontation are continually being updated, the results of those methods are not very satisfactory at present ...
Yong Fang, Cheng Zhang, Cheng Huang, Liang Liu, Yue Yang   +4 more
doaj   +1 more source

Phishing Detection Browser

, 2023
Phishing is a severe threat to online users, especially since attackers improve in impersonating other websites. Phishing is an act of cracking by single person or group of persons to steal the personal confidential information such as credit card details, bank account details, passwords etc., from unknown suffered for illegal activities. With websites
Agrawal, Sachin, Fandi, Nikita
openaire   +2 more sources

An Assessment of Features Related to Phishing Websites using an Automated Technique

, 2012
Corporations that offer online trading can achieve a competitive edge by serving worldwide clients. Nevertheless, online trading faces many obstacles such as the unsecured money orders.
McCluskey, T.L., Mohammad, Rami, Thabtah, Fadi   +2 more
core