Paper Info
Title
The LogLog counting reversible sketch: A distributed architecture for detecting anomalies in backbone networks
Abstract
The increasing number of network attacks causes growing problems for network operators and users. Thus, detecting anomalous traffic is of primary interest in IP networks management and many detection techniques, able to promptly reveal and identify network attacks, mainly detecting Heavy Changes (HCs) in the network traffic, have been proposed. Nevertheless, the recent spread of coordinated attacks, that occur in multiple networks simultaneously, makes extremely difficult the detection, using isolated intrusion detection systems that only monitor a limited portion of the Internet. For this reason in this paper we propose a novel distributed architecture that represents a general framework for the detection of network anomalies. The performance analysis, presented in this paper, demonstrates the effectiveness of the proposed architecture.
Year
DOI
Venue
2012
10.1109/ICC.2012.6363825
ICC
Keywords
Field
DocType
network attacks identification,ip networks,network traffic,coordinated attacks,backbone networks,computer network management,heavy changes detection,computer network security,ip networks management,distributed architecture,loglog counting reversible sketch,hc detection,internet,multiple networks,telecommunication traffic,isolated intrusion detection systems,performance analysis,anomalous traffic detection techniques,network operators,probabilistic logic,data structures
Computer science,Network security,Network simulation,Computer network,Network architecture,Network traffic control,Backbone network,Intrusion detection system,Overlay network,Distributed computing,Network management station
Conference
ISSN
ISBN
Citations 
1550-3607 E-ISBN : 978-1-4577-2051-2
978-1-4577-2051-2
2
PageRank 
References 
Authors
0.38
8
5
Name
Order
Citations
PageRank
Christian Callegari1819.05
Andrea Di Pietro217212.09
Stefano Giordano360986.56
Teresa Pepe412311.26
Gregorio Procissi524926.53