Research on wireless sensor network intrusion detection based on AL-SVM algorithm

Weiqin Tan; Zheyuan Xiong; Haifeng Zhong

doi:10.1117/12.2641277

4 August 2022 Research on wireless sensor network intrusion detection based on AL-SVM algorithm

Weiqin Tan, Zheyuan Xiong, Haifeng Zhong

Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 123061C (2022) https://doi.org/10.1117/12.2641277
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China

Abstract

The rapid development and application of the Internet in various fields has brought great convenience to both the society and individuals, and has gradually become an indispensable part of people's life and work. The development of computer technology has changed human life, and the risk and opportunity of virus invasion will also increase. With the increasing scale and automation of network attacks, the traditional detection methods have been unable to meet the needs of intrusion detection in the current network environment. This paper uses the data format and description conditions to define the data items, and completes the network intrusion data processing based on AL-SVM algorithm through feature extraction, so as to inhibit and protect the network intrusion.

Citation Download Citation

Weiqin Tan, Zheyuan Xiong, and Haifeng Zhong "Research on wireless sensor network intrusion detection based on AL-SVM algorithm", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 123061C (4 August 2022); https://doi.org/10.1117/12.2641277

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