Examination of Phishing Attempts on Web-Based Business Applications and Their Preventions
Shahbaz Shaukat, Faisal Rehman, Gunjan Chhabra, Keshav Kaushik, Inam Ullah Khan, Hanan Sharef, Muhammad Zahid Ali, Irfan Ghaffar, Muhammad Naeem Arshad · 2024
Because of developments in the online sector, the occurrence of data breaches in web-based business systems is rising quickly. The attackers employ a range of different methods, including Distributed-Denial-of-Service attacks, Hacking Current Sessions, Reusing of Usernames and Passwords, Injections of Structured Query Language, and Phishing Attacks. Phishing attacks are widely used in the modern age. Phishing attacks are frauds attempt for tricking users into giving up sensitive information. Based on the intruder's intended target, such digital threats can damage specific people or whole industries. Researchers in this field offer a variety of phishing identification methods to stop such threats. Throughout this review paper, we categorize modern phishing identification methods into five main groups, which includes framework based on deep learning algorithms and artificial intelligence methodology based on search engines, methodology based on scanned URLs, methodology based on Whitelisting-Blacklisting Using Pictorial Resemblance as a Basis. Additionally, a statistical assessment of every individual category, giving its advantages and disadvantages. Additionally, this article offers users advice on how to prevent cyber-attacks.