Research on Network Data Monitoring and Legal Evidence Integration Based on Cloud Computing

Abstract

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.