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Sensors 2016, 16(8), 1311; doi:10.3390/s16081311

Mining IP to Domain Name Interactions to Detect DNS Flood Attacks on Recursive DNS Servers

1
Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Carretera al Lago de Guadalupe Km. 3.5, Atizapán, Estado de México 52926, Mexico
2
Department of Informatics, Technical University of Munich, Boltzmannstr. 3, 85748 Garching, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Ma. Lourdes Martínez-Villaseñor and Hiram Ponce
Received: 1 June 2016 / Revised: 9 August 2016 / Accepted: 13 August 2016 / Published: 17 August 2016
View Full-Text   |   Download PDF [1077 KB, uploaded 17 August 2016]   |  

Abstract

The Domain Name System (DNS) is a critical infrastructure of any network, and, not surprisingly a common target of cybercrime. There are numerous works that analyse higher level DNS traffic to detect anomalies in the DNS or any other network service. By contrast, few efforts have been made to study and protect the recursive DNS level. In this paper, we introduce a novel abstraction of the recursive DNS traffic to detect a flooding attack, a kind of Distributed Denial of Service (DDoS). The crux of our abstraction lies on a simple observation: Recursive DNS queries, from IP addresses to domain names, form social groups; hence, a DDoS attack should result in drastic changes on DNS social structure. We have built an anomaly-based detection mechanism, which, given a time window of DNS usage, makes use of features that attempt to capture the DNS social structure, including a heuristic that estimates group composition. Our detection mechanism has been successfully validated (in a simulated and controlled setting) and with it the suitability of our abstraction to detect flooding attacks. To the best of our knowledge, this is the first time that work is successful in using this abstraction to detect these kinds of attacks at the recursive level. Before concluding the paper, we motivate further research directions considering this new abstraction, so we have designed and tested two additional experiments which exhibit promising results to detect other types of anomalies in recursive DNS servers. View Full-Text
Keywords: Domain Name System; anomaly detection; IDS/IPS sensors; flood attacks; DNS recursive servers; bicliques Domain Name System; anomaly detection; IDS/IPS sensors; flood attacks; DNS recursive servers; bicliques
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Alonso, R.; Monroy, R.; Trejo, L.A. Mining IP to Domain Name Interactions to Detect DNS Flood Attacks on Recursive DNS Servers. Sensors 2016, 16, 1311.

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