K-means and adaptive k-means algorithms for clustering DNS traffic

Qinghui Xu; Daniel Migault; stephane senecal; Stanislas Francfort

doi:10.4108/icst.valuetools.2011.245598

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K-means and adaptive k-means algorithms for clustering DNS traffic

Qinghui Xu Daniel Migault stephane senecal Stanislas Francfort

Year: 2011

DOI: 10.4108/icst.valuetools.2011.245598

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Abstract

Internet Service Providers' DNS traffic can be up to 120000 queries per second and increases around 8% every month. DNSSEC is expected to replace DNS and brings new challenge to naming resolution with heavy signature check. This paper provides an architecture, where incoming DNS traffic is split acc

Keywords:

Domain Name System Computer science Cluster analysis Computer network The Internet Signature (topology) Algorithm k-means clustering Internet traffic Data mining Mathematics Artificial intelligence World Wide Web

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

IPv6, Mobility, Handover, Networks, Security

Physical Sciences → Engineering → Electrical and Electronic Engineering

Network Packet Processing and Optimization

Physical Sciences → Computer Science → Hardware and Architecture

K-means and adaptive k-means algorithms for clustering DNS traffic

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