大数据环境下信息安全风险管理新方法

Zhengqi Zhang
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引用次数: 2

摘要

近年来,社会治安问题日益复杂,公安工作十分繁重。传统的治理模式需要更多的转型和更大的升级。目前,公安机关的信息处理工作缺乏有效的信息数据支持。利用大数据、人工智能等先进技术,构建警务信息大数据应用平台,更有效地采集与警务形势相关的信息,深入挖掘警务信息数据资源,并根据警务信息业务拓展应用。为了实现更全面的警务信息来源,更高效的业务处理,更积极的服务于基层,我们需要准确的预测和决策支持。为推动公安警务模式由粗放型人力型向智能化精细化型转变,本文提出了一种基于私有匹配协议的大数据环境下信息安全风险管理新方法,并在最后进行了安全分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Method for information security risk management in big data environment
In recent years, the social security problems are becoming more and more complex, and the public security work is arduous. The traditional governance mode needs more transformation and bigger upgrading. At present, the police information processing work lacks of effective information data support. By using advanced technologies such as big data and artificial intelligence, the police information big data application platform is constructed to more effectively gather information related to the police situation, dig deeply into the police information data resources, and expand the application according to police information business. In order to achieve a more comprehensive source of police information, more efficient business processing, and more positive service to the grassroots, we need accurate prediction and decision support. So as to promote the transformation of public security policing mode from extensive manpower type to intelligent fine type, this paper propose a new method based private matching protocol for information security risk management in big data environment, and provide security analysis at the last.
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