NDLI: Identifying high-cardinality hosts from network-wide traffic measurements

Content Provider	IEEE Xplore Digital Library
Author	Yang Liu Wenji Chen Yong Guan
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA (Yang Liu; Wenji Chen; Yong Guan)
Abstract	Host cardinality is defined as the number of distinct peers that a host communicates with in the network. There have been several algorithms proposed to monitor network traffic and identify high-cardinality hosts at a centralized network operation center (NOC). Due to massive amounts of data and limitations on transforming and processing them at the NOC, it is desirable to design mergeable and reversible data structures summarizing traffic measurements in a distributed network monitoring system. A mergeable data structure summarizes traffic measurements at each local monitor, and these summaries from different monitors can be merged at the NOC, while preserving the error guarantee without increasing space. A reversible data structure can report interested (high-cardinality) hosts efficiently using compressed information without querying every single host in the network. In this paper, we propose a new data streaming algorithm to identify high-cardinality hosts over the network-wide traffic measurements. Our algorithm introduces a new mergeable and reversible data structure for the distributed network monitoring system, which is designed by Noisy Group Testing. We have theoretically analyzed our algorithm and evaluated it against both synthetic and real-world data sets.
Starting Page	287
Ending Page	295
File Size	1090374
Page Count	9
File Format	PDF
ISBN	9781479908950
DOI	10.1109/CNS.2013.6682718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Estimation Data structures Vectors Security Monitoring Testing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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