Anomaly Detection in Computer Networks: A State-of-the-Art Review.
作者： Sherenaz W. Al-Haj Baddar , Alessio Merlo , Mauro Migliardi
DOI:
关键词: Root cause 、 Anomaly (physics) 、 Computer science 、 Network level 、 State of the art review 、 Anomaly detection 、 Component (UML) 、 Computer network
摘要: The ever-lasting challenge of detecting and mitigating failures in computer networks has become more essential than ever; especially with the enormous number smart devices that get connected to all sorts network everyday. Whether root cause a given anomaly is security breach, component failure, an environmental factor, or even any combination these reasons, anomalies need be detected mitigated timely properly. In this paper, we review evaluate state-of-the-art studies on problem detection networks. We provide elaborate description problem, depict different categorizations its solutions. also illustrate some recent solutions level, current trends handling malware-induced smartphone Additionally, presented highlight their shortcomings.
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