Results 81 to 90 of about 2,777,664 (208)

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

QR-SSO - Towards a QR-Code based Single Sign-On system [PDF]

, 2011
Today internet users use a single identity to access multiple services. With single sign-on (SSO), users don’t have to remember separate username/password for each service provider, which helps the user to browse through the web seamlessly.
Mukhopadhyay, Syamantak, Argles, David
core   +1 more source

OFF-The-Hook: A Tool to Detect Zero-Font and Traditional Phishing Attacks in Real Time

Applied System Innovation
Phishing attacks continue to pose serious challenges to cybersecurity, with attackers constantly refining their methods to bypass detection systems. One particularly evasive technique is Zero-Font phishing, which involves the insertion of invisible or ...
Nazar Abbas Saqib, Zahrah Ali AlMuraihel, Reema Zaki AlMustafa, Farah Amer AlRuwaili, Jana Mohammed AlQahtani, Amal Aodah Alahmadi, Deemah Alqahtani, Saad Abdulrahman Alharthi, Sghaier Chabani, Duaa Ali AL Kubaisy   +9 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

Phish and HIPs: Human Interactive Proofs to Detect Phishing Attacks [PDF]

, 2005
In this paper, we propose a new class of Human Interactive Proofs (HIPs) that allow a human to distinguish one computer from another. Unlike traditional HIPs, where the computer issues a challenge to the user over a network, in this case, the user issues a challenge to the computer.
Rachna Dhamija, J. D. Tygar
openaire   +1 more source

Phishing to improve detection

Proceedings of the 2023 European Symposium on Usable Security, 2023
Sarah Ying Zheng, Ingolf Becker
openaire   +2 more sources

PhishOFE: A Novel Machine Learning Framework for Real-Time Phishing URL Detection With Optimized Feature Engineering

IEEE Access
With the rapid expansion of the internet and the growing sophistication of cyber threats, phishing attacks have become a serious cybersecurity challenge for individuals and organizations.
Yanche Ari Kustiawan, Khairil Imran Ghauth   +1 more
doaj   +1 more source

Phishlimiter: A Phishing Detection and Mitigation Approach Using Software-Defined Networking

IEEE Access, 2018
Phishing is one of the most harmful social engineering techniques to subdue end users where threat actors find a chance to gain access to critical information systems.
Tommy Chin, Kaiqi Xiong, Chengbin Hu
doaj   +1 more source

Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection

, 2023
Phishing attacks have been increasingly prevalent in recent years, significantly eroding societal trust. As a state-of-the-art defense solution, reference-based phishing detection excels in terms of accuracy, timeliness, and explainability.
Dong, JS, Liu, R, Zhang, Y, Lin, Y, Lee, PH   +4 more
core  

AI-Driven Phishing Detection: Enhancing Cybersecurity with Reinforcement Learning

Journal of Cybersecurity and Privacy
Phishing remains a persistent cybersecurity threat, often bypassing traditional detection methods due to evolving attack techniques. This study presents a Reinforcement Learning (RL)-based phishing detection framework, leveraging a Deep Q-Network (DQN ...
Haidar Jabbar, Samir Al-Janabi
doaj   +1 more source