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Data Mining-based DNS Log Analysis
2014
Annals of Data Science
Domain name system (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is a significant task of DNS service providers. Traditional rule-based anomaly or intrusion detection methods are not able to update the rules dynamically. Data mining based approaches are able to find various patterns in the massive dynamic query traffic data. The patterns may assist the DNS service providers to detect anomalies in real time. In this paper, a novel
doi:10.1007/s40745-014-0023-7
fatcat:tn6i2tp3gfdcziftaii6lwpteu