Network trace anonymization using a prefix-preserving condensation-based technique

Ahmed Aleroud; Zhiyuan Chen; George Karabatis

doi:10.1007/978-3-319-48472-3_59

Network trace anonymization using a prefix-preserving condensation-based technique

Ahmed Aleroud, Zhiyuan Chen, George Karabatis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

This paper proposes a method to anonymize network trace data by utilizing a novel perturbation technique that has strong privacy guarantee and at the same time preserves data utility. The resulting dataset can be used for security analysis, retaining the utility of the original dataset, without revealing sensitive information. Our method utilizes a condensation based approach with strong privacy guarantees, suited for cloud environments. Experiments show that the method performs better than existing anonymization techniques in terms of privacy-utility trade off, and it surpasses existing techniques in attack prediction accuracy.

Original language	English (US)
Title of host publication	On the Move to Meaningful Internet Systems
Subtitle of host publication	OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings
Editors	Tharam Dillon, Christophe Debruyne, Declan Oâ’Sullivan, Herve Panetto, Eva Kuhn, Claudio Agostino Ardagna, Robert Meersman
Publisher	Springer Verlag
Pages	934-942
Number of pages	9
ISBN (Print)	9783319484716
DOIs	https://doi.org/10.1007/978-3-319-48472-3_59
State	Published - 2016
Externally published	Yes
Event	Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016 - Rhodes, Greece Duration: Oct 24 2016 → Oct 28 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10033 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016
Country/Territory	Greece
City	Rhodes
Period	10/24/16 → 10/28/16

Keywords

Anonymization
Data mining
Intrusion detection
Network traces
Privacy preserving

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-48472-3_59

Cite this

Aleroud, A., Chen, Z., & Karabatis, G. (2016). Network trace anonymization using a prefix-preserving condensation-based technique. In T. Dillon, C. Debruyne, D. Oâ’Sullivan, H. Panetto, E. Kuhn, C. A. Ardagna, & R. Meersman (Eds.), On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings (pp. 934-942). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10033 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48472-3_59

Network trace anonymization using a prefix-preserving condensation-based technique. / Aleroud, Ahmed; Chen, Zhiyuan; Karabatis, George.
On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. ed. / Tharam Dillon; Christophe Debruyne; Declan Oâ’Sullivan; Herve Panetto; Eva Kuhn; Claudio Agostino Ardagna; Robert Meersman. Springer Verlag, 2016. p. 934-942 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10033 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Aleroud, A, Chen, Z & Karabatis, G 2016, Network trace anonymization using a prefix-preserving condensation-based technique. in T Dillon, C Debruyne, D Oâ’Sullivan, H Panetto, E Kuhn, CA Ardagna & R Meersman (eds), On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10033 LNCS, Springer Verlag, pp. 934-942, Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016, Rhodes, Greece, 10/24/16. https://doi.org/10.1007/978-3-319-48472-3_59

Aleroud A, Chen Z, Karabatis G. Network trace anonymization using a prefix-preserving condensation-based technique. In Dillon T, Debruyne C, Oâ’Sullivan D, Panetto H, Kuhn E, Ardagna CA, Meersman R, editors, On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. Springer Verlag. 2016. p. 934-942. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-48472-3_59

Aleroud, Ahmed ; Chen, Zhiyuan ; Karabatis, George. / Network trace anonymization using a prefix-preserving condensation-based technique. On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, CandTC, and ODBASE 2016, Proceedings. editor / Tharam Dillon ; Christophe Debruyne ; Declan Oâ’Sullivan ; Herve Panetto ; Eva Kuhn ; Claudio Agostino Ardagna ; Robert Meersman. Springer Verlag, 2016. pp. 934-942 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5db6a0f0bb594657b52343fc42fcfbb0,

title = "Network trace anonymization using a prefix-preserving condensation-based technique",

abstract = "This paper proposes a method to anonymize network trace data by utilizing a novel perturbation technique that has strong privacy guarantee and at the same time preserves data utility. The resulting dataset can be used for security analysis, retaining the utility of the original dataset, without revealing sensitive information. Our method utilizes a condensation based approach with strong privacy guarantees, suited for cloud environments. Experiments show that the method performs better than existing anonymization techniques in terms of privacy-utility trade off, and it surpasses existing techniques in attack prediction accuracy.",

keywords = "Anonymization, Data mining, Intrusion detection, Network traces, Privacy preserving",

author = "Ahmed Aleroud and Zhiyuan Chen and George Karabatis",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016 ; Conference date: 24-10-2016 Through 28-10-2016",

year = "2016",

doi = "10.1007/978-3-319-48472-3_59",

language = "English (US)",

isbn = "9783319484716",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "934--942",

editor = "Tharam Dillon and Christophe Debruyne and Declan O{\^a}{\textquoteright}Sullivan and Herve Panetto and Eva Kuhn and Ardagna, {Claudio Agostino} and Robert Meersman",

booktitle = "On the Move to Meaningful Internet Systems",

}

TY - GEN

T1 - Network trace anonymization using a prefix-preserving condensation-based technique

AU - Aleroud, Ahmed

AU - Chen, Zhiyuan

AU - Karabatis, George

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - This paper proposes a method to anonymize network trace data by utilizing a novel perturbation technique that has strong privacy guarantee and at the same time preserves data utility. The resulting dataset can be used for security analysis, retaining the utility of the original dataset, without revealing sensitive information. Our method utilizes a condensation based approach with strong privacy guarantees, suited for cloud environments. Experiments show that the method performs better than existing anonymization techniques in terms of privacy-utility trade off, and it surpasses existing techniques in attack prediction accuracy.

AB - This paper proposes a method to anonymize network trace data by utilizing a novel perturbation technique that has strong privacy guarantee and at the same time preserves data utility. The resulting dataset can be used for security analysis, retaining the utility of the original dataset, without revealing sensitive information. Our method utilizes a condensation based approach with strong privacy guarantees, suited for cloud environments. Experiments show that the method performs better than existing anonymization techniques in terms of privacy-utility trade off, and it surpasses existing techniques in attack prediction accuracy.

KW - Anonymization

KW - Data mining

KW - Intrusion detection

KW - Network traces

KW - Privacy preserving

UR - http://www.scopus.com/inward/record.url?scp=84995921500&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84995921500&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-48472-3_59

DO - 10.1007/978-3-319-48472-3_59

M3 - Conference contribution

AN - SCOPUS:84995921500

SN - 9783319484716

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 934

EP - 942

BT - On the Move to Meaningful Internet Systems

A2 - Dillon, Tharam

A2 - Debruyne, Christophe

A2 - Oâ’Sullivan, Declan

A2 - Panetto, Herve

A2 - Kuhn, Eva

A2 - Ardagna, Claudio Agostino

A2 - Meersman, Robert

PB - Springer Verlag

T2 - Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2016 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2016

Y2 - 24 October 2016 through 28 October 2016

ER -

Network trace anonymization using a prefix-preserving condensation-based technique

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this