Method on anomaly detection methods for data security throughout the entire lifecycle of industrial internet
Min Yan, Sui Mi · 2024
In response to the unified monitoring challenges throughout the entire lifecycle of data production, collection, transmission, storage, utilization, sharing, and disposal within the industrial Internet environment, we proposes a comprehensive, lifecycle-oriented method for anomaly detection in data security. Tailored to diverse task scenarios, the approach employs a combination of multidimensional dynamic data behavior baseline analysis and a feature repository for anomaly behavior detection. This method offers a solution for data anomaly detection that spans the entire lifecycle, providing comprehensive coverage, precise management, accurate detection, and ease of implementation.