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DETEKSI SERANGAN SQL INJECTION DENGAN APACHE SPARK MENGGUNAKAN METODE K-MEANS CLUSTERING

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Structured Query Language Injection or commonly called SQL Injection is a hacking technique to gain access to a SQL-based database system. Structured Query Language is a language used to create, process and manipulate databases. Because of this, detecting SQL injection attacks is the first and most important thing to do to combat SQL Injection attacks. The basis for conducting a detection approach is using machine learning. K-means clustering is the simplest and most well-known clustering analysis algorithm in solving clustering problems. This algorithm is known to be efficient for large datasets. This journal proposes the detection of SQL injection attacks using one of the unsupervised learning methods, namely K-means clustering on Apache Spark. This study uses the CIC-IDS2018 dataset from the University of New Brunswick (UNB) to train and experiment with the detection system used.

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Detail Information

Series Title

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Call Number

T1564932024

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xiv, 67 hlm.; ilus.; tab, 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.807

Content Type

Text

Media Type

unmediated

Carrier Type

other (computer)

Edition

-

Subject(s)

Keamanan Data
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEW

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