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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 6 | Month- June 2024
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Paper Title
Machine Learning-Based Technique to Detect SQL Injection Attack
Authors
Vishal Sherkhane, Aamir Tadasarkar, Akshay Shivpure, Suresh Rathod, Prof. Mrs.Vina M. Lomte
Keywords
Machine Learning, Signature-Based, Knowledge-Based, SQL Injection, SQL Injection Tools
Abstract
Lack of secure codes implemented in the web apps will lead to cyber- attack because of vulnerabilities. The statistic shows that highest record on the data theft related cyber-attacks are through the SQL injection technique. Hence, an effective SQL injection detection is needed in any web system to combat this threat. In this research, machine learning technique is used where training is provided to the SQL injection detector using a training data and then is evaluated against a testing data. The research relies on the preparation of the training and testing datasets. Training sets are used by the detector to establish the knowledge base and the test set is used to evaluate the performance of the detector. The result of the detection shows that the proposed technique produces high accuracy in recognizing malicious and begin web requests.
IJCRT's Publication Details
Unique Identification Number - IJCRT23A5361
Paper ID - 238700
Page Number(s) - l417-l422
Pubished in - Volume 11 | Issue 5 | May 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Vishal Sherkhane, Aamir Tadasarkar, Akshay Shivpure, Suresh Rathod, Prof. Mrs.Vina M. Lomte, "Machine Learning-Based Technique to Detect SQL Injection Attack", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.l417-l422, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5361.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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