Research on cloud server double end vulnerability detection based on heuristic genetic algorithm

Zhenghong Lu; Minghao Cen; Bo Ren; Pengfei Wang; Cuihua Liu

doi:10.1117/12.3005935

10 October 2023 Research on cloud server double end vulnerability detection based on heuristic genetic algorithm

Zhenghong Lu, Minghao Cen, Bo Ren, Pengfei Wang, Cuihua Liu

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127990V (2023) https://doi.org/10.1117/12.3005935
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Conventional cloud server dual end vulnerability detection methods mainly use P2P (peer-to-peer) structure to generate dual end vulnerability detection programs, which are vulnerable to the dual identities of the server and the client, resulting in relatively high vulnerability detection errors. Therefore, a new cloud server dual end vulnerability detection method needs to be designed based on heuristic genetic algorithm. That is to say, the heuristic genetic algorithm is used to build a cloud server dual end vulnerability detection model, and the cloud server dual end vulnerability detection middleware is designed, thus realizing the cloud server dual end vulnerability detection. The experimental results show that the designed dual end vulnerability detection method for cloud server based on heuristic genetic algorithm has low relative error of vulnerability detection, which proves that the designed vulnerability detection method has good detection effect, reliability, and certain application value, and has made certain contributions to improving the security of cloud server operation.

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

Citation Download Citation

Zhenghong Lu, Minghao Cen, Bo Ren, Pengfei Wang, and Cuihua Liu "Research on cloud server double end vulnerability detection based on heuristic genetic algorithm", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127990V (10 October 2023); https://doi.org/10.1117/12.3005935

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