Hierarchical Summarization Techniques for Network Traffic

AN Mahood; C. Leckie; MD Rafiqul Islam; Z. Tari

doi:10.1109/ICIEA.2011.5976009

Hierarchical Summarization Techniques for Network Traffic

AN Mahood, C. Leckie, MD Rafiqul Islam, Z. Tari

Research output: Book chapter/Published conference paper › Conference paper › peer-review

3 Citations (Scopus)

Abstract

In today's high speed networks it is becoming increasingly challenging for network managers to understand the nature of the traffic that is carried in their network. A major problem for traffic analysis in this context is how to extract a concise yet accurate summary of the relevant aggregate traffic flows that are present in network traces. In this paper, we present two summarization techniques to minimize the size of the traffic flow report that is generated by a hierarchical cluster analysis tool. By analyzing the accuracy and compaction gain of our approach on a standard benchmark dataset, we demonstrate that our approach achieves more accurate summaries than those of an existing tool that is based on frequent itemset mining.

Original language	English
Title of host publication	2011 6th IEEE Conference on Industrial Electronics and Applications
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2474-2479
Number of pages	6
ISBN (Electronic)	9781424487554
DOIs	https://doi.org/10.1109/ICIEA.2011.5976009
Publication status	Published - 2011
Event	The 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011) - Beijing Friendship Hotel, Beijing, China Duration: 21 Jun 2011 → 23 Jun 2011 http://www.ieeeiciea.org/2011/

Conference

Conference	The 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011)
Country/Territory	China
City	Beijing
Period	21/06/11 → 23/06/11
Other	The 6th IEEE Conference on Industrial Electronics and Applications (ICIEA2011) is jointly organized by the IEEE Industrial Electronics (IE) Chapter of Singapore, Beijing University of Aeronautics& Astronautics. It will be held in Beijing from 21st to 23rd June 2011. Beijing (Peking) is the capital city of the People's Republic of China, located on the northwest part of the North China Plain about 150 kilometers (93 miles) west of the Bohai Sea, with a population of over eleven million people. It is also the nation's political and cultural hub. Beijing is a fast-growing, dynamic metropolis that, while courting foreign businesses and visitors, maintains a firm grip on its rich historical and cultural heritage. It is also recognized as a modern international metropolis full of energy and vitality. Beijing is world-famous for its trove of historical sites and enchanting natural scenery,making it a compelling tourist destination.
Internet address	http://www.ieeeiciea.org/2011/

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10.1109/ICIEA.2011.5976009

Cite this

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title = "Hierarchical Summarization Techniques for Network Traffic",

abstract = "In today's high speed networks it is becoming increasingly challenging for network managers to understand the nature of the traffic that is carried in their network. A major problem for traffic analysis in this context is how to extract a concise yet accurate summary of the relevant aggregate traffic flows that are present in network traces. In this paper, we present two summarization techniques to minimize the size of the traffic flow report that is generated by a hierarchical cluster analysis tool. By analyzing the accuracy and compaction gain of our approach on a standard benchmark dataset, we demonstrate that our approach achieves more accurate summaries than those of an existing tool that is based on frequent itemset mining.",

keywords = "Analysis, Summarization, Cluster analysis, Internet management, Traffic Analysis, Summarization",

author = "AN Mahood and C. Leckie and Islam, {MD Rafiqul} and Z. Tari",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = Piscataway, NJ: IEEE, 2011. Event dates (773o) = 21-06-2011-23-06-2011; Parent title (773t) = IEEE Conference on Industrial Electronics and Applications, ICIEA2011.; The 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011) ; Conference date: 21-06-2011 Through 23-06-2011",

year = "2011",

doi = "10.1109/ICIEA.2011.5976009",

language = "English",

pages = "2474--2479",

booktitle = "2011 6th IEEE Conference on Industrial Electronics and Applications",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

url = "http://www.ieeeiciea.org/2011/",

}

Mahood, AN, Leckie, C, Islam, MDR & Tari, Z 2011, Hierarchical Summarization Techniques for Network Traffic. in 2011 6th IEEE Conference on Industrial Electronics and Applications. IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 2474-2479, The 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011), Beijing, China, 21/06/11. https://doi.org/10.1109/ICIEA.2011.5976009

TY - GEN

T1 - Hierarchical Summarization Techniques for Network Traffic

AU - Mahood, AN

AU - Leckie, C.

AU - Islam, MD Rafiqul

AU - Tari, Z.

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Piscataway, NJ: IEEE, 2011. Event dates (773o) = 21-06-2011-23-06-2011; Parent title (773t) = IEEE Conference on Industrial Electronics and Applications, ICIEA2011.

PY - 2011

Y1 - 2011

N2 - In today's high speed networks it is becoming increasingly challenging for network managers to understand the nature of the traffic that is carried in their network. A major problem for traffic analysis in this context is how to extract a concise yet accurate summary of the relevant aggregate traffic flows that are present in network traces. In this paper, we present two summarization techniques to minimize the size of the traffic flow report that is generated by a hierarchical cluster analysis tool. By analyzing the accuracy and compaction gain of our approach on a standard benchmark dataset, we demonstrate that our approach achieves more accurate summaries than those of an existing tool that is based on frequent itemset mining.

AB - In today's high speed networks it is becoming increasingly challenging for network managers to understand the nature of the traffic that is carried in their network. A major problem for traffic analysis in this context is how to extract a concise yet accurate summary of the relevant aggregate traffic flows that are present in network traces. In this paper, we present two summarization techniques to minimize the size of the traffic flow report that is generated by a hierarchical cluster analysis tool. By analyzing the accuracy and compaction gain of our approach on a standard benchmark dataset, we demonstrate that our approach achieves more accurate summaries than those of an existing tool that is based on frequent itemset mining.

KW - Analysis, Summarization

KW - Cluster analysis, Internet management, Traffic Analysis, Summarization

U2 - 10.1109/ICIEA.2011.5976009

DO - 10.1109/ICIEA.2011.5976009

M3 - Conference paper

SP - 2474

EP - 2479

BT - 2011 6th IEEE Conference on Industrial Electronics and Applications

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, NJ

T2 - The 6th IEEE Conference on Industrial Electronics and Applications (ICIEA 2011)

Y2 - 21 June 2011 through 23 June 2011

ER -

Hierarchical Summarization Techniques for Network Traffic

Abstract

Conference

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