Design and implementation of RESTFUL API based model for vulnerability detection and mitigation. Issue 1 (1st March 2022)

• Record Type: Journal Article
• Authors: Modi, Bhavya; Chourasia, Uday; Pandey, Rajeev
• Is Part Of: IOP conference series. Volume 1228:Issue 1(2022)
• Publication Date: 2022-03-01
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1228/1/012010
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: With the rapid rise of online applications in the contemporary digital world, security concerns are also developing day by day. A web application is a collection of several web pages that are kept on a server. It is stated that as the economy grows, so will the security risks. There are numerous current web vulnerabilities that are still a significant concern, and with time, there will be much more new vulnerability that emerges as technology advances. In this paper, There is a detailed study of various web threats i.e., vulnerabilities that are emerging and proposed a system which detects those vulnerabilities, resolves them for the user and generates a user log for the administrator to monitor the type of vulnerabilities. In the proposed model we have generated the system in the format of API. In the testing phase we've detected various web vulnerabilities such as SQL Injections, Cross Site Scripting, Session Hijacking, Unauthorized access, Middle man attack etc.