Empirical Methods, Anomaly Detection and Preventive Measures of Web Attacks

The digital world has captured great market response in recent years. Users are almost completely dependent on the web for availing of products and various services. Web applications are known to solve one-stop solutions for users. Considering the importance of client data, attackers take advantage of vulnerabilities associated with its process. According to a Gartner security threat report; around 90% of vulnerabilities are present in the application layer. Web content is generally updated very frequently. This opens up the door for invaders to perform their intended tasks. In this paper, we tend to explore the various quotidian web attacks and reveal some serious vulnerabilities found in modern web applications. The literature summary includes articles from reputed journals and conferences. Our analysis presents a comprehensive and detailed study of the categorization, prevention, detection, and mitigation of these web attacks. The strength of this article lies in the basis of the detailed statistics that help for designing an innovative solution for preventing these types of attacks in the future.