基于大数据技术的智慧校园安全管控平台设计研究
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广东科学技术职业学院

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TN915.08

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广东省教育厅特色创新项目(2020KTSCX240)


Research on the Design of Smart Campus Security Management and Control Platform Based on Big Data Technology
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    摘要:

    针对传统校园网络安全防御手段已无法应对当前大数据背景下的智慧校园安全威胁问题,提出一种基于大数据技术的智慧校园安全管控平台设计方案。该方案将智慧校园体系分层、分类设计安全防护机制,实现对智慧校园安全的粒度防护管理;运用大数据技术构建智慧安全大脑,解决了智慧校园数据混乱、数据关联难问题,实现智慧校园数据融合存储;通过智能运营管理平台全面感知智慧校园安全态势,实现风险预测、安全预警、安全处置以及防护加固智能联动。通过模拟攻击测试与安全风险评估,部署智慧校园安全平台后智慧校园安全防御能力明显加强和安全风险等级明显降低,经过实际应用分析智慧校园安全告警和自我处置能力也明显提高。

    Abstract:

    Aiming at the problem that the traditional campus network security defense means can no longer deal with the security threat of smart campus under the current big data background, a design scheme of smart campus security management and control platform based on big data technology is proposed. In this scheme, the smart campus system is layered and classified to design the security protection mechanism, which realizes the granular protection management of the smart campus security;The big data technology is used to build a smart security brain, which solves the problems of data confusion and data association in smart campus, and realizes data fusion storage in smart campus;Fully perceive the security situation of smart campus through the intelligent operation management platform, and realize the intelligent linkage of risk prediction, security early warning, security disposal and protection and reinforcement.Through simulated attack test and security risk assessment, after deploying the smart campus security platform, the security defense capability of the smart campus is significantly strengthened and the security risk level is significantly reduced. Through practical application analysis, the security alarm and self-treatment capability of the smart campus are also significantly improved. Key words: smart campus; intelligent and safe brain; data fusion; safety management and control platform; security situation

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廖海生.基于大数据技术的智慧校园安全管控平台设计研究计算机测量与控制[J].,2021,29(10):133-138.

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  • 收稿日期:2021-08-04
  • 最后修改日期:2021-09-01
  • 录用日期:2021-09-02
  • 在线发布日期: 2021-11-11
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