A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment

• Published in: Computer communications Vol. 175; pp. 47 - 57
• Main Authors: Gupta, Brij B., Yadav, Krishna, Razzak, Imran, Psannis, Konstantinos, Castiglione, Arcangelo, Chang, Xiaojun
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2021
• Subjects: Accuracy; Blacklist; Features; Machine learning; Phishing; Random forest; Real-time; URLs; Accuracy; URLs; Phishing; Real-time; Machine learning; Features; Random forest; Blacklist

In recent times, we can see a massive increase in the number of devices that are being connected to the internet. These devices include but are not limited to smartphones, IoT, and cloud networks. In comparison to other possible cyber-attacks, these days, hackers are targeting these devices with phi...