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http://dx.doi.org/10.5392/JKCA.2021.21.02.587

A Service Model Development Plan for Countering Denial of Service Attacks based on Artificial Intelligence Technology  

Kim, Dong-Maeong (배재대학교 대학원 사이버보안과)
Jo, In-June (배재대학교 대학원 사이버보안과)
Publication Information
The Journal of the Korea Contents Association / v.21, no.2, 2021 , pp. 587-593 More about this Journal
Abstract
In this thesis, we will break away from the classic DDoS response system for large-scale denial-of-service attacks that develop day by day, and effectively endure intelligent denial-of-service attacks by utilizing artificial intelligence-based technology, one of the core technologies of the 4th revolution. A possible service model development plan was proposed. That is, a method to detect denial of service attacks and minimize damage through machine learning artificial intelligence learning targeting a large amount of data collected from multiple security devices and web servers was proposed. In particular, the development of a model for using artificial intelligence technology is to detect a Western service attack by focusing on the fact that when a service denial attack occurs while repeating a certain traffic change and transmitting data in a stable flow, a different pattern of data flow is shown. Artificial intelligence technology was used. When a denial of service attack occurs, a deviation between the probability-based actual traffic and the predicted value occurs, so it is possible to respond by judging as aggressiveness data. In this paper, a service denial attack detection model was explained by analyzing data based on logs generated from security equipment or servers.
Keywords
Artificial Intelligence; Machine Learning; Denial of Service Attack; Security Control; Service Model;
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