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Research on Network Data Monitoring and Legal Evidence Integration Based on Cloud Computing
Mobile Information Systems ( IF 1.863 ) Pub Date : 2022-09-05 , DOI: 10.1155/2022/1544981
Li Ge 1 , Peng YanLi 2
Affiliation  

In today’s society, technologies such as social network, mobile Internet, and Internet of things are developing by leaps and bounds, and data are growing at an unprecedented rate. How to manage and reasonably use such data sources has become the most popular research topic, and cloud computing technology can provide powerful computing and storage capabilities for data sources, further enhance the comprehensive processing capacity of big data, and realize the real value of data sources. Based on this point, this paper focuses on the nature of data network delivery and its requirements for real-time accuracy and performance monitoring, and studies the key computing flow technology for network data monitoring. The main achievement is to build a data processing and analysis platform based on computing flow, and design and implement the overall structure of the platform and data anomaly monitoring model. Finally, this paper uses big data technology to design and build an integrated auxiliary legal service system. The system can help judges and prosecutors fully understand the progress and research results of guiding cases, and provide them with a series of applicable laws and regulations, so as to maximize work efficiency. The system can also help implement the investment of legal education, so as to provide basic legal services for the public, integrate legal evidence, and timely implement public opinion guidance for some public opinion media on legal topics and cases, so as to minimize social risks. This paper combines cloud computing technology with network data detection and applies it to the research field of legal auxiliary services, which greatly promotes the development of legal evidence integration technology.

中文翻译:

基于云计算的网络数据监控与法证整合研究

当今社会,社交网络、移动互联网、物联网等技术突飞猛进,数据以前所未有的速度增长。如何管理和合理利用此类数据源成为当前最热门的研究课题,而云计算技术可以为数据源提供强大的计算和存储能力,进一步提升大数据的综合处理能力,实现数据源的真正价值. 基于这一点,本文围绕数据网络交付的本质及其对实时精度和性能监控的要求,研究了网络数据监控的关键计算流技术。主要成果是构建了基于计算流的数据处理分析平台,设计并实现平台整体架构和数据异常监测模型。最后,本文利用大数据技术,设计构建了一体化的辅助法律服务体系。该系统可以帮助法官和检察官充分了解指导性案件的进展和研究成果,并为其提供一系列适用的法律法规,从而最大限度地提高工作效率。该系统还可以帮助落实法律教育的投入,为公众提供基本的法律服务,整合法律证据,及时对部分舆论媒体进行法律话题和案件的舆论引导,将社会风险降到最低。 . 本文将云计算技术与网络数据检测相结合,应用于法律辅助服务研究领域,
更新日期:2022-09-06
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