著者

Yuya Takeuchi Takuro Yoshida Ryotaro Kobayashi Masahiko Kato Hiroyuki Kishimoto

雑誌

情報処理学会論文誌 (ISSN:18827764)

巻号頁・発行日

vol.57, no.9, 2016-09-15

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The Domain Name System (DNS), whose major function is to manage associations between domain names and IP addresses, plays a major role in managing the Internet. Thus, a DNS impairment would significantly impact society. A major cause of DNS impairment is Distributed Denial of Service (DDoS) attack on authoritative DNS servers. Our study focuses on the recently emerging DDoS attack known as the DNS Water Torture Attack. This attack causes open resolvers, which are improperly configured cache DNS servers that accept requests from both LAN and WAN, to send many queries to resolve domains managed by target servers. Domain names for resolving sent in this attack include varying random subdomains. Cache servers certainly will not have cached data for these queries, and so a huge volume of queries converges to the target authoritative servers via cache servers. In this paper, we propose a detection method for this attack using the Naive Bayes Classifier. Experimental results show that our method is capable of detecting this attack with a 95.59% detection rate. Moreover, the results of performance simulation show that our method is fast enough to process more than 2.3Gbps of traffic on the fly.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.24(2016) No.5 (online)DOI http://dx.doi.org/10.2197/ipsjjip.24.793------------------------------