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Research on Network Security Detection of Smart Government Service Platform

Qian Sun, Bin Liu, Xuegang Luo

Abstract


This article proposes a design scheme for network security detection of smart government service platforms based on a self-developed network security detection system. The system deeply integrates the SecGPT network security big model and Kunpeng architecture,
integrating CTF modules, penetration testing modules, auxiliary modules, IoT modules, APT defense modules, and threat analysis modules to
form a full process detection capability covering vulnerability scanning, penetration attacks, permission maintenance, and horizontal penetration. By designing and implementing network security detection in smart government scenarios, the effectiveness of the system in microservice architecture security detection, APT attack chain tracking, IoT device risk assessment, and other aspects is verified, and a three-dimensional security protection system combining active defense and intelligent response is constructed for government systems.

Keywords


Smart government; Network security testing; SecGPT; Microservice architecture; APT attack defense

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References


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[2] Omar Alshaikh, Simon Parkinson, Saad Khan, et al. A contextual framework to standardise the communication of machine learning cyber security characteristics[J]. Computer Standards & Interfaces, 2025, 94:104015-104015.

[3] Kewei Wang, Changzhen Hu, Chun Shan, et al. Process-oriented security assessment of network services[J]. Computer Networks, 2025,

264:111225-111225.




DOI: http://dx.doi.org/10.70711/frim.v3i9.7313

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