This paper is published in Volume-5, Issue-3, 2019
Area
Web Security
Author
Ujjwal Sinh, Suresh Kumar B., Tejaswini D. Kalro, Bajarang, A. M. Prasad
Org/Univ
Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India
Pub. Date
20 May, 2019
Paper ID
V5I3-1273
Publisher
Keywords
Web application, Web security, Cyber security, Web security tools, Vulnerability analysis, Penetration testing, Dynamic analysis, Report generation

Citationsacebook

IEEE
Ujjwal Sinh, Suresh Kumar B., Tejaswini D. Kalro, Bajarang, A. M. Prasad. Busted: A website vulnerabilities analysis and alert tool, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ujjwal Sinh, Suresh Kumar B., Tejaswini D. Kalro, Bajarang, A. M. Prasad (2019). Busted: A website vulnerabilities analysis and alert tool. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Ujjwal Sinh, Suresh Kumar B., Tejaswini D. Kalro, Bajarang, A. M. Prasad. "Busted: A website vulnerabilities analysis and alert tool." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

The number of reported web application vulnerabilities is increasing dramatically. The most of vulnerabilities result from improper input validation. This paper presents extensions to the Tainted Mode model which allows intermodule vulnerabilities detection. Besides, this paper presents a new approach to vulnerability analysis which incorporates advantages of penetration testing and dynamic analysis Henceforth, it is required to have secured services. The main concern is to provide security to end user to protect files or data from the unauthorized group. The web application is now used to performs an intelligent standard of collection of services, applications, information, infrastructure comprised of pools of computer, network, information, and storage resources. With these advantages storing a large amount of data including important information on websites motivates a highly accomplished hacker to hack the critical information also. Hence, security is considered a topmost issue in cloud computing. This paper aims at analyzing encryption algorithms based on factors such as cost, time, key length and block size. The analysis indicates that several algorithm and various tools help in improving security to save the data