Towards Adaptive Anomaly Detection in Cellular. Mobile Networks. Bo Sun, Zhi Chen, Ruhai Wang. Dept. of Computer Science. Lamar University. Beaumont, TX 77710.
Towards adaptive anomaly detection in cellular mobile networks. Published in: CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006.
Simulation results show that the proposed adaptive mechanisms can further reduce the false positive rate without decreasing the detection rate, ...
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Abstract. Sensors, inside internet-connected devices, analyse the envi- ronment and monitor possible unwanted behaviour or the malfunctioning of the system.
Towards adaptive anomaly detection in cellular mobile networks, Proceedings of the IEEE Consumer. Communications and Networking Conference. (CCNC06), Vol 2 ...
This paper presents an efficient on-line anomaly detection algorithm that can effectively identify a group of especially harmful internal attackers ...
In this paper we have applied Supervised Machine Learning (SML) to a set of long term observation time series from a Cellular/Wireless network.
This study delves into the realm of mobile network security and reliability enhancement through the lens of anomaly detection and prediction.
In this paper, we present an adaptive anomaly detection approach in cellular networks ... Published in: 2019 15th International Wireless Communications & Mobile ...
Anomaly Detection (AD) is a promising new approach for quality control in e.g. operational telecommunications and data networks.