An Integrated Prediction of SQL Injection using Random Forest
S.Sivamohan1, L. Kali Prasad2, Vigneshwararaj. S3, A.I. Vishal4
1Mr. Sivamohan S, Assistant professor of Information technology in SRM IST,Chennai, Tamil Nadu, India.
2L. Kali Prasad, department of Information Technology, SRM IST,Chennai, Tamil Nadu, India.
3Vigneshwararaj. S, department of Information Technology, SRM IST,Chennai, Tamil Nadu, India.
4A.I. Vishal department of Information Technology,SRM IST,Chennai, Tamil Nadu, India.
Manuscript received on February 27, 2020. | Revised Manuscript received on March 14, 2020. | Manuscript published on March 30, 2020. | PP: 5145-5147 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9781038620/2020©BEIESP | DOI: 10.35940/ijrte.F9781.038620
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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: SQL injection is one of the cyber attack used by the attackers to penetrate into the web application database. This attack is considered to be the top ten threats and is also declared by “Open Web Application Security Project”. The importance of the injection detection is that even a young person can initiate this attack from any place and also no prior knowledge is required as there are existing tools available extensively. This attack works in the way by inserting a malicious code or logic in the authentication page and this compromises the system to return true in the condition while checking the data with the data present in the database. Actually, this malicious code breaks the format of string to a logic based function as in default all the data that are inputted by the user is written in a string format. We are using Random Forest algorithm to detect the injection attack.
Keywords: SQLIA (SQL Injection Attack),CIA (Central Intelligence Agency).
Scope of the Article: Artificial Intelligence.