Detection and Analysis Framework of Anomalous Internet Crime Data Based on Edge Computing
Yijun Cai, Dian Li, Yuyue Wang · 2020
Detection and analysis framework of anomalous Internet crime data based on edge computing is designed in this paper. The edge server is both the edge data processing center and the data storage center. The edge server receives the edge device data for processing and returns the processing result to the edge device. It complements cloud computing and cloud services, is close to users and data sources, and provides a new computing model for intelligent computing. Therefore, edge computing is another new computing model after distributed computing, grid computing, and cloud computing. Inspired by the features of this technology, this paper proposes the novel data crime analytic framework. The numerical experiment has proven the satisfactory performance of the proposed method.