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Method of data compression for traffic monitoring

Tutkimustuotosvertaisarvioitu

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Method of data compression for traffic monitoring. / Kozhemiakina, Nadejda; Lukin, Vladimir; Ponomarenko, Nikolay; Akulynichev, Artem; Astola, Jaakko; Egiazarian, Karen.

2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings. IEEE, 2015. s. 153-156.

Tutkimustuotosvertaisarvioitu

Harvard

Kozhemiakina, N, Lukin, V, Ponomarenko, N, Akulynichev, A, Astola, J & Egiazarian, K 2015, Method of data compression for traffic monitoring. julkaisussa 2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings. IEEE, Sivut 153-156, 1/01/00. https://doi.org/10.1109/INFOCOMMST.2015.7357299

APA

Kozhemiakina, N., Lukin, V., Ponomarenko, N., Akulynichev, A., Astola, J., & Egiazarian, K. (2015). Method of data compression for traffic monitoring. teoksessa 2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings (Sivut 153-156). IEEE. https://doi.org/10.1109/INFOCOMMST.2015.7357299

Vancouver

Kozhemiakina N, Lukin V, Ponomarenko N, Akulynichev A, Astola J, Egiazarian K. Method of data compression for traffic monitoring. julkaisussa 2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings. IEEE. 2015. s. 153-156 https://doi.org/10.1109/INFOCOMMST.2015.7357299

Author

Kozhemiakina, Nadejda ; Lukin, Vladimir ; Ponomarenko, Nikolay ; Akulynichev, Artem ; Astola, Jaakko ; Egiazarian, Karen. / Method of data compression for traffic monitoring. 2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings. IEEE, 2015. Sivut 153-156

Bibtex - Lataa

@inproceedings{042dca1d856b4a778e973a72040ed827,
title = "Method of data compression for traffic monitoring",
abstract = "In this paper a problem of compressing data containing information on basic parameters of network traffic is considered. Six test sets with different types of network traffic for known monitoring tool Wireshark are formed. Analysis of compression efficiency for these datasets by widely used archivers is carried out. It is shown that the main part of memory in compressed data relates to timestamps. A method for compressing timestamps that consists in delta calculation, Burrows-Wheeler transform (BWT), distance coding (DC) and recursive group coding (RGC) at the final stage is proposed. It is demonstrated that the use of RGC at the final stage provides more efficient coding compared to known methods. It is also shown that the proposed method of timestamps coding produces about twice larger compression ratio than WinRar.",
keywords = "Burrows-Wheeler transform, data compression, distance coding, traffic monitoring and analysis tools",
author = "Nadejda Kozhemiakina and Vladimir Lukin and Nikolay Ponomarenko and Artem Akulynichev and Jaakko Astola and Karen Egiazarian",
year = "2015",
month = "12",
day = "14",
doi = "10.1109/INFOCOMMST.2015.7357299",
language = "English",
isbn = "9789669751928",
pages = "153--156",
booktitle = "2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Method of data compression for traffic monitoring

AU - Kozhemiakina, Nadejda

AU - Lukin, Vladimir

AU - Ponomarenko, Nikolay

AU - Akulynichev, Artem

AU - Astola, Jaakko

AU - Egiazarian, Karen

PY - 2015/12/14

Y1 - 2015/12/14

N2 - In this paper a problem of compressing data containing information on basic parameters of network traffic is considered. Six test sets with different types of network traffic for known monitoring tool Wireshark are formed. Analysis of compression efficiency for these datasets by widely used archivers is carried out. It is shown that the main part of memory in compressed data relates to timestamps. A method for compressing timestamps that consists in delta calculation, Burrows-Wheeler transform (BWT), distance coding (DC) and recursive group coding (RGC) at the final stage is proposed. It is demonstrated that the use of RGC at the final stage provides more efficient coding compared to known methods. It is also shown that the proposed method of timestamps coding produces about twice larger compression ratio than WinRar.

AB - In this paper a problem of compressing data containing information on basic parameters of network traffic is considered. Six test sets with different types of network traffic for known monitoring tool Wireshark are formed. Analysis of compression efficiency for these datasets by widely used archivers is carried out. It is shown that the main part of memory in compressed data relates to timestamps. A method for compressing timestamps that consists in delta calculation, Burrows-Wheeler transform (BWT), distance coding (DC) and recursive group coding (RGC) at the final stage is proposed. It is demonstrated that the use of RGC at the final stage provides more efficient coding compared to known methods. It is also shown that the proposed method of timestamps coding produces about twice larger compression ratio than WinRar.

KW - Burrows-Wheeler transform

KW - data compression

KW - distance coding

KW - traffic monitoring and analysis tools

U2 - 10.1109/INFOCOMMST.2015.7357299

DO - 10.1109/INFOCOMMST.2015.7357299

M3 - Conference contribution

SN - 9789669751928

SP - 153

EP - 156

BT - 2015 2nd International Scientific-Practical Conference Problems of Infocommunications Science and Technology, PIC S and T 2015 - Conference Proceedings

PB - IEEE

ER -