Multi-Mode Fusion False Information Detection System Based on Heterogeneous Information Network
Fanglong Dong · 2023
How to quickly and effectively obtain the required information from the vast network has become an urgent problem. Aiming at the time domain and frequency domain problems of information detection, this paper designs a false signal data detection method based on multi-mode fusion. This paper proposes an algorithm based on communication sensor network, which aims to achieve two-way data fusion, false information detection and early warning. In this paper, the experimental comparison method and the comprehensive statistical analysis method are mainly used to systematically experiment and analyze the multiple-modality fusion false information detection of heterogeneous information networks. The experimental results show that the error of false information detection is different under different models, but the overall level remains low. The error rate of false information in fund and traffic information shall not exceed 1%.