A SYN Flooding Attack Detection Approach with Hierarchical Policies Based on Self-information

ASIAIR > College of Computer Science > Department of Computer Science and Information Engineering > Journal Artical > Item 310904400/115521

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/115521

Title:	A SYN Flooding Attack Detection Approach with Hierarchical Policies Based on Self-information
Authors:	Sun, Jia-Rong;Sun, Jia-Rong;Hu, Chin-Tser;Huang, Chin-Tser;黃明祥;Hwang, Min-Shiang
Contributors:	資訊電機學院資訊工程學系
Date:	2022-NA
Issue Date:	2023-03-29 02:29:58 (UTC+0)
Publisher:	亞洲大學
Abstract:	The SYN flooding attack is widely used in cyber attacks because it paralyzes the network by causing the system and bandwidth resources to be exhausted. This paper proposed a self-information approach for detecting the SYN flooding attack and provided a detection algorithm with a hierarchical policy on a detection time domain. Compared with other detection methods of entropy measurement, the proposed approach is more efficient in detecting the SYN flooding attack, providing low misjudgment, hierarchical detection policy, and low time complexity. Furthermore, we proposed a detection algorithm with limiting system resources. Thus, the time complexity of our approach is only (log n) with lower time complexity and misjudgment rate than other approaches. Therefore, the approach can detect the denial-of-service/distributed denial-of-service attacks and prevent SYN flooding attacks.
Appears in Collections:	[Department of Computer Science and Information Engineering] Journal Artical

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