An Efficient Intrusion Detection Approach for Visual Sensor Networks Based on Traffic Pattern Learning

Abstract

Visual sensor networks (VSNs) are highly vulnerable to attacks due to their open deployment in possibly unattended environments. To improve the network security of VSNs, an intrusion detection system (IDS) is an effective countermeasure. However, as visual sensors can produce big and dynamic video data, it is a tough task to rapidly and effectively detect… (More)
DOI: 10.1109/TSMC.2017.2698457

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