| Master
Thesis |
Last
update: July 21, 2009 |
|
An IP Address
Anonymization Scheme Based on Privacy Levels
Student
Mr.Wongyos
Keardsri, ID 497 05416 21 [homepage]
M.Sc.
Student in Computer Science
Department
of Computer Engineering
Faculty
of Engineering
Chulalongkorn
University
Bangkok,
10330 Thailand
 Advisor
Dr.Yunyong
Teng-amnuay [homepage]
Head
of The Information System Engineering Laboratory (ISEL)
Department
of Computer Engineering
Faculty
of Engineering
Chulalongkorn
University
Bangkok,
10330 Thailand
 Co-Advisor
Dr.Passakon
Prathombutr [detail]
Director
of Intelligent Transport Systems Cluster (ITS)
National
Electronics and Computer Technology Center (NECTEC)
National
Science and Technology Development Agency (NSTDA)
Pathumthani
12120, Thailand
Laboratory
Information
System Engineering Laboratory (ISEL)
Center of Excellence in Software Engineering (CESE)
Scholarship
Thailand
Graduate Institute of Science and Technology Scholarship
(TGIST)
Scholar
ID TG-44-09-50-076M
Grant
number TGIST 01-50-076
Introduction
Nowadays,
an IP address anonymization is an important technique for
network analysis and Internet research. The method of anonymization
is the changing of original IP address to anonymized IP
address to keep the private information of users in network
and to prevent suitable a disclosure and violation of user
privacy. The well-known anonymization techniques are TCPdpriv,
Crypto-PAn, Multiple Access Level, and TSA; however, they
are unsuitable for network analysis functions. The current
techniques anonymize all 32 bits of IP address unnecessarily.
In fact, we can anonymize the necessary bits or parts of
IP address for different privacy levels. In this research,
we propose 5 privacy levels for anonymization scheme as
follows; non-anonymization, n-left anonymization, n-right
anonymization, full anonymization, and randomly full anonymization.
We apply these privacy levels to prefix-preserving IP address
anonymization, the technique which can preserve network
relationship among the same network group from original
IP addresses, specifically to Crypto-PAn. Moreover, we present
3 anonymization factors used in considering and selecting
appropriate privacy level. The 3 anonymization factors are
as follows; privacy tree structures, network analysis functions,
and computer law. We combine these factors by using rule-based
method. Our anonymization scheme is applicable to an administrator
who analyzes packet data in different functions. The scheme
benefits any organizations in exchanging network data, and
also appropriates for heavy-duty packet tracers and sniffers.
Technical Reports and Documentations (Thai
version)
Publications
- Wongyos Keardsri, Yunyong Teng-amnuay,
and Passakon Prathombutr, "Defining
and Using Anonymization Factors for Anonymizing
IP Address Based on Privacy Levels".
In Proceedings of 5th National Conference
on Computing and Information Technology (NCCIT
2009), Bangkok, Thailand, May 22-23, 2009.
[Thai:PDF][Presentation]
- Wongyos Keardsri, Yunyong Teng-amnuay,
and Passakon Prathombutr, "Presenting
Privacy Tree Structure for IP Address Anonymization
Based on Privacy Levels". (Abstract)
In Proceedings of 13th International ANnual Symposium
on Computational Science and Engineering (ANSCSE-13),
Bangkok, Thailand, March 25-27, 2009. [English
Abstract:PDF][Presentation]
- Wongyos Keardsri, Yunyong Teng-amnuay,
and Passakon Prathombutr, "Defining
Privacy Levels for IP Address Anonymization".
In Proceedings of 13th International ANnual
Symposium on Computational Science and Engineering
(ANSCSE-13), Bangkok, Thailand, March 25-27,
2009. [English Abstract:PDF][English
Full:PDF][Presentation]
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