Comparison of Hybrid Intrusion Detection System

Cahyo, Aditya Nur and Sari, Anny Kartika and Riasetiawan, Mardhani (2020) Comparison of Hybrid Intrusion Detection System. In: 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE), 06-08 October 2020, Yogyakarta, Indonesia.

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Abstract

IDS have an important role in dispelling and preventing an intrusion or abuse of access rights. In its development, research on IDS is growing. IDS consist of several detection models, one of which is hybrid-based, which in IDS detection combines the signature and anomaly models. This method is considered more effective because it combines the advantages of the speed of signature detection and the ability to analyze new attacks from the anomaly model. However, from existing models and frameworks hybrid-based IDS still needs to be further developed to be implemented in the industry. From a number of existing IDS-based studies, this paper intends to conduct a review with the aim that researchers who wish to develop hybrid-based IDS know which methods and architecture are best to be implemented. This paper reviews hybrid IDS research in the last five years. © 2020 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 13; Conference name: 12th International Conference on Information Technology and Electrical Engineering, ICITEE 2020; Conference date: 6 October 2020 through 8 October 2020; Conference code: 165585
Uncontrolled Keywords: Electrical engineering; Mathematical techniques; Access rights; Anomaly models; Detection models; Hybrid intrusion detection; Signature detection; Intrusion detection
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department
Depositing User: Sri JUNANDI
Date Deposited: 20 May 2025 04:13
Last Modified: 20 May 2025 04:13
URI: https://ir.lib.ugm.ac.id/id/eprint/16767

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