Design and implementation of scene visualization system based on dual engine structure

Mingwei Liu; Jian Luo; Jing Zhu; Yi Kang

doi:10.1117/12.3008957

27 October 2023 Design and implementation of scene visualization system based on dual engine structure

Mingwei Liu, Jian Luo, Jing Zhu, Yi Kang

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129222M (2023) https://doi.org/10.1117/12.3008957
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

Intrusion detection is an advanced security technology that goes beyond traditional measures like access control, passwords, authentication, auditing, and firewalls. It safeguards against internal and external attacks, as well as misoperation. To establish a user's normal behavior, a set of behavior profiles must be created and maintained, describing the user's typical system usage. This paper presents a visualization algorithm for network intrusion scenes, employing a dual-engine structure that integrates network-based and host-based intrusion detection systems. The algorithm offers combined detection, reporting, and response capabilities. Simulation results demonstrate significant improvements in false alarm rates compared to traditional methods. The network engine implementation combines protocol analysis and pattern matching, narrowing down target matches and enhancing detection speed. The approach effectively meets the efficiency and accuracy requirements of intrusion detection systems in cloud computing environments.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mingwei Liu, Jian Luo, Jing Zhu, and Yi Kang "Design and implementation of scene visualization system based on dual engine structure", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129222M (27 October 2023); https://doi.org/10.1117/12.3008957

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