The rapid development of e-commerce, e-banking, and social networks has made phishing attack detection one of the most critical technologies in all cyber security systems. To …
AA Ubing, SKB Jasmi, A Abdullah… - International Journal of …, 2019 - academia.edu
This research focuses on evaluating whether a website is legitimate or phishing. Our research contributes to improving the accuracy of phishing website detection. Hence, a …
AK Jain, BB Gupta - Journal of Ambient Intelligence and Humanized …, 2019 - Springer
This paper presents a novel approach that can detect phishing attack by analysing the hyperlinks found in the HTML source code of the website. The proposed approach …
AK Jain, BB Gupta - Telecommunication Systems, 2018 - Springer
The existing anti-phishing approaches use the blacklist methods or features based machine learning techniques. Blacklist methods fail to detect new phishing attacks and produce high …
L Tang, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
Phishing attackers spread phishing links through e-mail, text messages, and social media platforms. They use social engineering skills to trick users into visiting phishing websites and …
E Gandotra, D Gupta - Multimedia security: algorithm development …, 2021 - Springer
The increasing number of phishing attacks is one of the major concerns of security researchers today. The traditional tools for identifying phishing websites use signature …
Phishing detection with high-performance accuracy and low computational complexity has always been a topic of great interest. New technologies have been developed to improve …
Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive information from the victim. Usually, these kinds of attacks are done via emails, text …
In this paper, we mainly present a machine learning based approach to detect real-time phishing websites by taking into account URL and hyperlink based hybrid features to …