학술논문

Comparison of Hybrid Intrusion Detection System
Document Type
Conference
Source
2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) Information Technology and Electrical Engineering (ICITEE), 2020 12th International Conference on. :92-97 Oct, 2020
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Testing
Security
Intrusion detection
Computer crime
Companies
Handwriting recognition
Feature extraction
intrusion detection
ids
hybrid ids
anomaly
misuse
signature
Language
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.