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Rangga Dinata B
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Implementasi Sistem Pendeteksi Serangan SQL Injection dengan Menggunakan Algoritme K-Nearest Neighbor Rangga Dinata B
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 12 (2019): Desember 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SQL injection is a very popular method and is often used to carry out attacks. SQL injection makes use of security holes in the system to attack the database on a website. SQL injection itself can be detected using the Intrusion Detection System. Intrusion Detection System is a security system that is often used to detect data traffic. In IDS itself there are two detection methods, namely Rule-base Detection and Anomaly Detection. The system made is Anomaly Detection with K-Nearest Neighbor as a classifier for detection. The detection process begins by labeling the input data. This data will be separated by SQL Parse and sorted using N-Gram. The data sequence will be given 4 features namely length, entrophy, malicious_g and legit_g obtained from the G-Test. After the feature value is obtained, K-Nearest Neighbor classifies the data as attack data or secure data. The results of the classification test of 20 test data with 300 training data is 60% accuracy while for 20 test data with 13895 training data is 100% for accuracy.
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