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arXiv · 1705.09650

Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata

Xiaoran Liu·Qin Lin·Sicco Verwer·Dmitri Jarnikov
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Abstract

This paper focuses on detecting anomalies in a digital video broadcasting (DVB) system from providers' perspective. We learn a probabilistic deterministic real timed automaton profiling benign behavior of encryption control in the DVB control access system. This profile is used as a one-class classifier. Anomalous items in a testing sequence are detected when the sequence is not accepted by the learned model.

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BibTeXRIS

Xiaoran Liu, Qin Lin, Sicco Verwer, Dmitri Jarnikov. 2017-05-24. Anomaly Detection in a Digital Video Broadcasting System Using Timed Automata. https://arxiv.org/abs/1705.09650

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