Multifractal detrended fluctuation analysis based detection for SYN flooding attack

被引:5
|
作者
Nashat, Dalia [1 ]
Hussain, Fatma A. [1 ]
机构
[1] Assiut Univ, Fac Comp & Informat, Assiut, Egypt
关键词
DDoS attack; SYN Flooding attack; Time series; MFDFA; Exponential weighted moving average; SECURITY;
D O I
10.1016/j.cose.2021.102315
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The TCP SYN flooding (half-open connection) attack is a type of DDoS attack, which denies the services by consuming the server resources. This attack prevents legitimate users from using their desired service. The SYN flooding attack exploits the normal TCP three-way handshake by sending stream of SYN packets to the server with spoofed IP addresses. The detection of this attack is hard since the internet routing infrastructure cannot differentiate between legitimate and spoofed SYN packets. In this paper we present a new detection method for the SYN flooding attack based on Multifractal Detrended Fluctuation Analysis (MFDFA) in addition to an adaptive threshold, thus we can detect the abnormal behavior in the TCP protocol time series. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
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