NDLI: Netshuffle: Improving Traffic Trace Anonymization through Graph Distortion

Content Provider	IEEE Xplore Digital Library
Author	Valgenti, V.C. Paul, R.R. Min Sik Kim
Copyright Year	2011
Abstract	Traffic traces provide valuable data to researchers and organizations alike. However, organizations that provide this information do not wish to expose the internal workings of their networks to potential attack. Traffic trace anonymization attempts to mitigate this concern by hiding sensitive information while preserving most of the empirical value of the trace. Unfortunately, many attacks such as statistical fingerprinting, known-plaintext, and port evaluation can serve to identify communications within a trace which can lead an attacker to the real-world identities of anonymized devices. The inherent graph structure embedded in network traffic stands as a primary lever in achieving such de-anonymization. We propose Netshuffle, a method that distorts the graph structure in the anonymized trace such that an attacker cannot rely on the edges (communications) to identify a particular end-node (device). In essence, we shuffle the edges of the graph like a deck of cards so that even if an attacker can identify an edge, that edge does not necessarily connect to the intended target. Thus, inferences based on features of communications will either lead an attacker astray, or force the attacker to guess as to the identity of the targeted node from several indistinguishable candidates. Netshuffle provides a complimentary vector of protection to current anonymization techniques at limited cost in data utility.
Starting Page	1
Ending Page	6
File Size	123368
Page Count	6
File Format	PDF
ISBN	9781612842325
ISSN	15503607
e-ISBN	9781612842332
e-ISBN	9781612842318
DOI	10.1109/icc.2011.5962451
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer to peer computing IP networks Image edge detection IEEE Communications Society Merging Topology Equations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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