A Distribution-Based Approach to Anomaly Detection and Application to 3G Mobile Traffic
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx5/5425207/5425208/05425651.pdf?arnumber=5425651
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Dynamic Traffic Anomaly Detection for Broadband Smart Grid Services in Software Defined Networks;2022 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2022-06-15
2. Latent Gaussian process for anomaly detection in categorical data;Knowledge-Based Systems;2021-05
3. Empirical Characterization of Network Traffic for Reliable Communication in IoT Devices;Security in Cyber-Physical Systems;2021
4. Machine Learning for QoE Prediction and Anomaly Detection in Self-Organizing Mobile Networking Systems;SSRN Electronic Journal;2019
5. Anomaly Detection for Categorical Observations Using Latent Gaussian Process;Neural Information Processing;2017
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