XSS Attack Prevention over Code Injection Vulnerabilities in Web Applications
K. Joylin Bala1, E.Babu Raj2, A. M. Anusha Bamini33
1K. Joylin Bala,,Research Scholar, Department of Computer Science, Bharathiar University, India.
2E. Babu Raj, Professor, Department of Computer Science and Engineering, Marian Engineering College, Thiruv anantha puram, India.
3A.M. Anusha Bamini, Assistant Professor, Noorul Islam Centre for Higher Education, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 882-886 | Volume-8 Issue-8, June 2019 | Retrieval Number: G5456058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In modern web applications Cross Site Scripting (XSS) Attacks are creating the maximum popular security harms. XSS happens at the time of accessing information or data in intermediary confidential sites. The millions of websites are attacked by this cross site scripting attacks. Malicious scripting codes are injected into applications using XSS, and also it sends back the modified code to the customer side. If the user tries to visit the web browser to check the injected portions of the malicious code, then the code will perform directly to the client’s computer. The keywords of XSS was detected by using javascript engine or the malicious codes are filtered in the server side using javascript. But the attackers are creating various types of malicious codes in a very fast manner. Therefore it is difficult to detect, list key words and avoid XSS attacks. In this proposed work provide a server side solution, by providing step by step procedure for preventing XSS. The proposed detection structure recorded accuracy improvement of 10% and the false-positive rate reduction is 0.1%. By considering existing works the proposed work gives better results.
Keyword: XSS, Vulnerability, Malicious, Attack, Defend, Injection.
Scope of the Article: Industrial, Financial and Scientific Applications of All Kind.