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Machine Learning-Based Technique to Detect SQL Injection Attack

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dc.contributor.authorMuhammad Amirulluqman Azmanen_US
dc.contributor.authorMohd Fadzli Marhusinen_US
dc.contributor.authorRossilawati Sulaimanen_US
dc.date.accessioned2024-05-28T04:48:59Z
dc.date.available2024-05-28T04:48:59Z
dc.date.issued2021
dc.date.submitted2022-4-2
dc.description.abstractLack 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 benign web requests.en_US
dc.identifier.citationAzman, M. A., Marhusin, M. F. & Sulaiman, R. (2021). Machine Learning-Based Technique to Detect SQL Injection Attack. Journal of Computer Science, 17(3), 296-303. https://doi.org/10.3844/jcssp.2021.296.303en_US
dc.identifier.doi10.3844/jcssp.2021.296.303
dc.identifier.epage303
dc.identifier.issn1549-3636
dc.identifier.issue3
dc.identifier.other606-6
dc.identifier.spage296
dc.identifier.urihttps://thescipub.com/abstract/10.3844/jcssp.2021.296.303
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/6201
dc.identifier.volume17
dc.language.isoenen_US
dc.publisherScience Publicationsen_US
dc.relation.ispartofJournal of Computer Scienceen_US
dc.subjectMachine Learning, Signature-Based, Knowledge-Based, SQL Injection, SQL Injection Toolsen_US
dc.titleMachine Learning-Based Technique to Detect SQL Injection Attacken_US
dc.typeArticleen_US
dspace.entity.typePublication

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