Research Article
Application of Big Data in Public Security Governance: Dilemma, Risk and Optimization Path
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322735, author={Xin Xie and Xiaofeng Luo}, title={Application of Big Data in Public Security Governance: Dilemma, Risk and Optimization Path}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={big data; public security governance; optimization path}, doi={10.4108/eai.17-6-2022.2322735} }- Xin Xie
Xiaofeng Luo
Year: 2022
Application of Big Data in Public Security Governance: Dilemma, Risk and Optimization Path
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322735
Abstract
In public security governance, big data is playing an increasingly important role, which also puts forward higher requirements for the comprehensive utilization ability of data and data mining and analysis ability of public security organs. At present, there are some problems in the application of big data in public security governance, such as the lack of effective integration of data, weak data processing ability and low quality of data collection, as well as the risk that citizens' privacy is easily violated, algorithm discrimination, data leakage and illegal use. We need to optimize the application of big data in public security governance by integrating and sharing data resources, improving technology application level, improving data collection quality, strengthening data security protection and promoting the integrated development of big data, artificial intelligence and police blockchain in public security governance.
