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Can Wavelet Transform Detect LDDoS Abnormal Traffic in Multipath TCP Transmission System?
Author(s) -
Gang Lei,
Lejun Ji,
Ruiwen Ji,
Yuanlong Cao,
Wei Yang,
Hao Wang
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/8066200
Subject(s) - computer science , computer network , multipath tcp , denial of service attack , multipath propagation , transmission (telecommunications) , wavelet transform , transmission control protocol , tcp acceleration , the internet , real time computing , wavelet , network packet , telecommunications , artificial intelligence , channel (broadcasting) , world wide web
With the rapid development of mobile Internet technology and multihost terminal devices, multipath transmission protocol has been widely concerned. Among them, multipath TCP (MPTCP) has become a hot research protocol in recent years because of its good transmission performance and Internet compatibility. Due to the increasing power of Low-Rate Distributed Denial of Service (LDDoS) attack, the network security situation is becoming increasingly serious. The robustness of MPTCP network has become an urgent performance index to improve. Therefore, it is very necessary to detect LDDoS abnormal traffic timely and effectively in the transmission system based on MPTCP. This paper tries to use wavelet transform technology to decompose and reconstruct network traffic and find a detection method of LDDoS abnormal traffic in the MPTCP transmission system. The experimental results show that in the MPTCP transmission system, the signal processing technology based on wavelet transform can realize the identification of LDDoS abnormal traffic. It indicates a direction worth further exploration for the detection and defense of the LDDoS attack.

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