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Design of Smart Community System Based on Video Surveillance Technology: Focus on Data Security and Privacy Protection

Author

Listed:
  • Jing Liu

    (China Mobile Communications Group Co., Ltd., China)

  • Pengling Li

    (China Mobile Communications Group Co., Ltd., China)

  • Xuanzi Liu

    (China Mobile Communications Group Co., Ltd., China)

  • Yang Zhang

    (China Mobile Communications Group Co., Ltd., China)

Abstract

Driven by China's “new infrastructure” strategy and “discerning project”, smart community construction has become key to urban digital development. This study designs a video surveillance-based smart community system with a four-tier architecture (perception, network, platform, application layers), integrating AI video analysis, data fusion, blockchain tamper-proof storage, SM4 encryption, and face desensitization to ensure data security—core to the journal's focus. It implements three modules: perimeter intrusion warning (YOLO-based), illegal electric vehicle charging monitoring, and property fee visualization. Empirical results from a 3,000-household pilot (operational since Feb 2024) show 64–66.7% fewer security incidents, 38.9–41.7% shorter property response time, and 26% higher residents' satisfaction. Limitations include algorithm fragility in extreme conditions and multi-device interoperability issues, providing insights for secure smart community development.

Suggested Citation

  • Jing Liu & Pengling Li & Xuanzi Liu & Yang Zhang, 2026. "Design of Smart Community System Based on Video Surveillance Technology: Focus on Data Security and Privacy Protection," International Journal of Information Security and Privacy (IJISP), IGI Global Scientific Publishing, vol. 20(1), pages 1-15, January.
    • Handle: RePEc:igg:jisp00:v:20:y:2026:i:1:p:1-15
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