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Classification of Types of Computer Network Attacks Through IDS (Intrusion Detection System) using Naive Bayes Classifier
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 184 - Number 43 |
| Year of Publication: 2023 |
| Authors: Tri Widodo, Adam Sekti Aji |
10.5120/ijca2023922531
|
Tri Widodo, Adam Sekti Aji . Classification of Types of Computer Network Attacks Through IDS (Intrusion Detection System) using Naive Bayes Classifier. International Journal of Computer Applications. 184, 43 ( Jan 2023), 7-13. DOI=10.5120/ijca2023922531
Abstract
Computer network administrators use IDS (Intrusion Detection System) as part of a managed computer network protection system. IDS provides alerts or warnings to computer network administrators in the event of a computer network attack. All activities that pass through the computer network will be recorded in the IDS log or records. Computer network administrators need clearer information regarding what happens on the managed network such as the type of network attack, the number of attacks, and others. The most widely used classification algorithm is the Naïve Bayes Classifier. The use of Naïve Bayes Classifier is effective for grouping or classifying data based on existing data. This research is R&D research. This study aims to develop a website-based application that utilizes IDS log data classified using Naïve Bayes to identify computer network attacks. The website-based Naïve Bayes Classifier application developed can classify the types of network attacks recorded by the IDS. Network attacks can be identified by several variables, namely: Total incoming IP in range, packet length in range, time range, content, and destination port. Network administrators can improve computer network security by configuring the IDS rule using variable data processed by the Naïve Bayes Classifier application
References
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