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Mobile Networks and Management. 12th EAI International Conference, MONAMI 2022, Virtual Event, October 29-31, 2022, Proceedings

Research Article

Research on Attack Signal Feature Extraction Method of Multipath TCP Transmission System Based on Wavelet Energy Entropy

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  • @INPROCEEDINGS{10.1007/978-3-031-32443-7_29,
        author={Lejun Ji and Gang Lei and Ruiwen Ji and Junyi Wu and Keyang Gu},
        title={Research on Attack Signal Feature Extraction Method of Multipath TCP Transmission System Based on Wavelet Energy Entropy},
        proceedings={Mobile Networks and Management. 12th EAI International Conference, MONAMI 2022, Virtual Event, October 29-31, 2022, Proceedings},
        proceedings_a={MONAMI},
        year={2023},
        month={5},
        keywords={Multipath TCP Wavelet transform Wavelet energy entropy Feature extraction Robustness},
        doi={10.1007/978-3-031-32443-7_29}
    }
    
  • Lejun Ji
    Gang Lei
    Ruiwen Ji
    Junyi Wu
    Keyang Gu
    Year: 2023
    Research on Attack Signal Feature Extraction Method of Multipath TCP Transmission System Based on Wavelet Energy Entropy
    MONAMI
    Springer
    DOI: 10.1007/978-3-031-32443-7_29
Lejun Ji1, Gang Lei1,*, Ruiwen Ji1, Junyi Wu1, Keyang Gu1
  • 1: School of Software, Jiangxi Normal University
*Contact email: leigang@jxnu.edu.cn

Abstract

Multipath transmission technology provides a strong theoretical support for the realization of parallel multi-channel data transmission for multi-host mobile terminal devices, and is an ideal scheme for high performance and high quality data transmission in wireless network environment. MPTCP is one of the representative achievements, and its security and robustness have aroused wide concern and discussion among researchers at home and abroad. In view of the characteristics of non-stationary signals transmitted by MPTCP, this paper combines wavelet transform analysis method and information entropy theory, and uses wavelet energy entropy to achieve the method of feature extraction of attack signals. Finally, the simulation analysis is carried out and good experimental results are obtained. The following conclusions are drawn: according to the law of wavelet energy entropy changing with wavelet decomposition scale, the attack signal is different from the normal signal. Based on this feature, attack signals in MPTCP transmission system can be well detected, which provides a new thinking and new means for anomaly detection and online monitoring of MPTCP transmission system.

Keywords
Multipath TCP Wavelet transform Wavelet energy entropy Feature extraction Robustness
Published
2023-05-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-32443-7_29
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