Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Power Cyberspace Surveying and Penetration

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344726,
        author={Jindong  He and Zhou  Zheng and Shanshan  Lei},
        title={Power Cyberspace Surveying and Penetration},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={cyberspace surveying; penetration test; security situation awareness; network security; cyber assets attack system},
        doi={10.4108/eai.8-12-2023.2344726}
    }
    
  • Jindong He
    Zhou Zheng
    Shanshan Lei
    Year: 2024
    Power Cyberspace Surveying and Penetration
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344726
Jindong He1,*, Zhou Zheng1, Shanshan Lei1
  • 1: Fujian Power Co., Ltd.
*Contact email: 13950407229@139.com

Abstract

In view of the power information security problems such as the blind area, noise and the delay of the latest general vulnerability risk perception in the existing network asset detection and network security penetration, this paper constructs a set of cyberspace surveying and penetration test system based on vulnerability risk matching identification. The surveying process of fingerprint identification of network assets is described in detail, and the timeliness and noise problems of the whole network segment scanning of power information assets are solved by using the parallel optimization of prime number domain original root processing. Vulnerability risk matching identification and automated penetration test queue are used to generate security situation guidance of network assets based on vulnerability risk matching identification to improve the accuracy of security perception.