NDLI: Compressing Attack Graphs Through Reference Encoding

Content Provider	IEEE Xplore Digital Library
Author	Pengsu Cheng Lingyu Wang Tao Long
Copyright Year	2010
Abstract	As a widely accepted model of multi-step network intrusions, attack graph has been applied to topological vulnerability analysis, network hardening, alert correlation, security metrics, and so on. A major challenge faced by attack graphs is the scalability: Even the attack graph of a moderate-sized network is typically incomprehensible to the human eyes, whereas that of large enterprise networks usually has an unmanageable size. Such a complexity, however, is not entirely unavoidable. In this paper, we shall show that an attack graph may contain much redundancy due to the similarity between different hosts’ configurations. We then present a novel representation of attack graphs based on reference encoding. Specifically, subnets of hosts with similar configurations are represented using reference hosts while textual rules are employed to describe minor differences. The compression process is lossless and the resultant attack graph can directly provide useful insights. The effectiveness of the proposed model is illustrated through a case study and simulation results.
Starting Page	1026
Ending Page	1031
File Size	682446
Page Count	6
File Format	PDF
ISBN	9781424475476
e-ISBN	9781424475483
DOI	10.1109/CIT.2010.188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-29
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement vulnerability analysis Computational modeling Simulation network security Redundancy Encoding Generators Attack graph Topology
Content Type	Text
Resource Type	Article

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