Results 101 to 110 of about 50,838 (183)

Detection of phishing websites based on the improved TrustRank algorithm

Dianxin kexue, 2018
Anti-phishing methods just generally detect phishing sites based on comparing the similarity of pages features,which could be anti-detected when attackers are clear about the extraction process of features.Therefore,a method based on web pages ...
Hao HAN, Bowen LIU, Guoyuan LIN
doaj   +2 more sources

Investigation of Phishing Susceptibility with Explainable Artificial Intelligence

Future Internet
Phishing attacks represent a significant and growing threat in the digital world, affecting individuals and organizations globally. Understanding the various factors that influence susceptibility to phishing is essential for developing more effective ...
Zhengyang Fan, Wanru Li, Kathryn Blackmond Laskey, Kuo-Chu Chang   +3 more
doaj   +1 more source

The Importance of Security Awareness in Combating Phishing Attacks: A Case Study of Bank Rakyat Indonesia

Soshum: Jurnal Sosial dan Humaniora
The advent of the digital world does not always have positive impacts, it often poses serious attacks that can be highly detrimental to its users, one of which is phishing.
Dwi Wina Adani, Ida Nurhayati, R. Elly Mirati   +2 more
doaj   +1 more source

Multimodal Phishing Detection on Social Networking Sites: A Systematic Review

IEEE Access
Phishing is one of the most common cyberattacks, with the number of incidents increasing annually. Significant research interests have been generated in phishing emails, URLs, and websites over the past decade.
Tandin Wangchuk, Tad Gonsalves
doaj   +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

Understanding phishing discussions on stack overflow and information security stack exchange. [PDF]

Sci Rep
Althobaiti K, Tahaei M.
europepmc   +1 more source

PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection. [PDF]

Sci Rep
Jain A, Khan S, Koli K, Taneja H, Panwar A, Alshammari T, Obaid EM, Abdu SM.   +7 more
europepmc   +1 more source

Explainable phishing website detection for secure and sustainable cyber infrastructure. [PDF]

Sci Rep
Kehkashan T, Abdelhaq M, Al-Shamayleh AS, Huda N, Yaseen IA, Ahmed AIA, Akhunzada A.   +6 more
europepmc   +1 more source

Explainable few-shot learning with modern BERT for detecting emerging phishing attacks using XF PhishBERT. [PDF]

Sci Rep
Tawfik M, Abu-Ein AA, Abdelhaliem AH, Al-Sharo YM, Fathi IS.   +4 more
europepmc   +1 more source

Phishing threat mitigation in E-commerce using a quantum-enhanced hybrid AI framework. [PDF]

Sci Rep
Gupta BB, Pan SH, Gaurav A, Arya V, Attar RW, Alhazmi AH, Alhomoud A, Chui KT.   +7 more
europepmc   +1 more source