Apr 15, 2019 · In this paper, we consider the statistical features of the subsequence of streams, proposing a novel collective anomaly detection algorithm for ...
The proposed algorithm can effectively detect a collective anomaly of multidimensional streams in the security domain and is implemented using iForestFS ...
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In this paper, we consider the statistical features of the subsequence of streams, proposing a novel collective anomaly detection algorithm for multidimensional ...
Apr 24, 2019 · ABSTRACT Anomaly detection in many applications is becoming more and more important, especially for security and privacy in mobile service ...
Jul 12, 2024 · Network traffic anomaly detection, as an effective analysis method for network security, can identify differentiated traffic information and ...
Mar 14, 2022 · In this paper, we propose a progressive exploration framework for collective anomaly detection on network traffic based on a clustering method, ...
Missing: Multidimensional Mobile
Anomaly Detection Methods for Categorical Data: A Review. 2019. [33], A Collective Anomaly Detection Approach for Multidimensional Streams in Mobile Service ...
Aug 4, 2023 · Lin, L., & Su, J. (2019). Anomaly detection method for sensor network data streams based on sliding window sampling and optimized clustering.
We discuss methods for detecting anomalies in the streaming data produced by the cell phone network. ... Uncovering individual and collective human dynamics from ...
This paper has demonstrated how to take advantage of the high processing power of Spark to perform anomaly detection on heterogeneous data using statistical ...