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Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings

Research Article

Reverse Analysis Method of Unknown Protocol Syntax in Mobile Multimedia Communications

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  • @INPROCEEDINGS{10.1007/978-3-030-89814-4_4,
        author={Yichuan Wang and Binbin Bai and Zhigang Liu and Xinhong Hei and Han Yu},
        title={Reverse Analysis Method of Unknown Protocol Syntax in Mobile Multimedia Communications},
        proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings},
        proceedings_a={MOBIMEDIA},
        year={2021},
        month={11},
        keywords={Protocol recognition Feature extraction Composite feature Communication security},
        doi={10.1007/978-3-030-89814-4_4}
    }
    
  • Yichuan Wang
    Binbin Bai
    Zhigang Liu
    Xinhong Hei
    Han Yu
    Year: 2021
    Reverse Analysis Method of Unknown Protocol Syntax in Mobile Multimedia Communications
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-030-89814-4_4
Yichuan Wang1, Binbin Bai1, Zhigang Liu1, Xinhong Hei1,*, Han Yu1
  • 1: Laboratory for Network Computing and Security Technology
*Contact email: heixinhong@xaut.edu.cn

Abstract

With the development of mobile multimedia communication, the frequency of a few protocols and special communication protocols increases rapidly, and the probability of network attack events is frightening. This has caused people financial losses and psychological panic. At present, the commonly used protocol recognition tools use a single and targeted method, which has a lot of limitations. Based on the existing algorithms, this paper presents a new protocol feature extraction method, which greatly improves the efficiency of feature extraction. In this paper, the idea of Apriori algorithm is improved, and the feature string is searched under the idea of composite features of CFI algorithm. Combining the advantages of previous algorithms, a more efficient OFS (Optimal Feature Strings) algorithm is proposed, which can perform better when facing the feature extraction problem of bit stream protocol. Then it compares with the existing algorithms, tests the superiority of the new algorithm in running time, and further illustrates the accuracy and correctness of the algorithm.

Keywords
Protocol recognition Feature extraction Composite feature Communication security
Published
2021-11-02
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-89814-4_4
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