Abstract
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.
Highlights
Cao et al [28] proposed multipath TCP (MPTCP) − (La/E2), an energy-efficient MPTCP solution with Low-Rate Distributed Denial of Service (LDDoS) attack awareness, to avoid multipath transmission performance degradation caused by LDDoS attacks. erefore, based on the current research status, we propose to combine the wavelet analysis method with LDDoS attacks detection to realize the identification and detection of LDDoS attacks in the MPTCP transmission system and further improve the robustness of MPTCP against LDDoS attacks
We try to prove that the signal analysis and processing method based on wavelet transform (WT) can identify the LDDoS attack traffic in the MPTCP transmission system
If the network traffic signal is decomposed by WT, it is necessary to select the type of WT, the type of wavelet base, and the number of decomposition layers
Summary
Erefore, we can regard the network data flow in the multipath transmission system as a signal and use signal analysis technology to process and analyze it, trying to find a way to detect LDDoS abnormal traffic. The MPTCP transmission system is more robust to LDDoS attacks than the SCTP transmission system. It is very necessary to detect LDDoS attacks quickly and accurately in network traffic of the MPTCP transmission system. Combined with the current research status and development trend, this paper introduces the wavelet analysis method into the anomaly detection of LDDoS attacks in the MPTCP transmission system for the first time. We analyze the data characteristics of abnormal traffic which are different from normal traffic, so as to realize the identification of LDDoS abnormal traffic in the MPTCP transmission system.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
