Method on anomaly detection methods for data security throughout the entire lifecycle of industrial internet

Min Yan; Sui Mi

doi:10.1117/12.3029433

6 May 2024 Method on anomaly detection methods for data security throughout the entire lifecycle of industrial internet

Min Yan, Sui Mi

Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131072S (2024) https://doi.org/10.1117/12.3029433
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Min Yan and Sui Mi "Method on anomaly detection methods for data security throughout the entire lifecycle of industrial internet", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131072S (6 May 2024); https://doi.org/10.1117/12.3029433

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