Research Article
Efficient Retrieval Method of Malicious Information in Multimedia Big Data Network Based on Human-Computer Interaction
@INPROCEEDINGS{10.1007/978-3-030-67871-5_25, author={Jia-ju Gong and Wen-da Xie and Jing-hua Wang}, title={Efficient Retrieval Method of Malicious Information in Multimedia Big Data Network Based on Human-Computer Interaction}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I}, proceedings_a={ADHIP}, year={2021}, month={2}, keywords={Human interaction Big data network Malicious information Search processing Information clustering}, doi={10.1007/978-3-030-67871-5_25} }- Jia-ju Gong
Wen-da Xie
Jing-hua Wang
Year: 2021
Efficient Retrieval Method of Malicious Information in Multimedia Big Data Network Based on Human-Computer Interaction
ADHIP
Springer
DOI: 10.1007/978-3-030-67871-5_25
Abstract
In order to solve the phenomenon that the malicious information retrieval in the traditional method is not comprehensive and the precision is not high, an efficient retrieval method of malicious information in multimedia big data network based on human-computer interaction is proposed and designed. On the basis of analyzing the principle of information retrieval, the human-computer interaction form is used to divide the metrics of malicious information. On this basis, the human-computer interaction retrieval logic is established, and the malicious information clustering method is used to realize the multimedia big data network. Efficient retrieval of malicious information. Through the method of experimental argumentation analysis, the validity of the human-computer interaction retrieval method is determined. The results show that the method has a high recall rate of 28.31% compared with the traditional method, and the retrieval accuracy is extremely high. In this paper, the method of network malicious information retrieval is effective and suitable for popularization.
