E-Locus - Institutional Repository of the University of Crete

Home Collections Type of Work Post-graduate theses

Post-graduate theses

Current Record: 5180 of 6553

[Add to Basket]

Identifier

000337099

Title

Anontool : per application field anonymization to promote network data sharing

Alternative Title

Διατήρηση Ανωνυμίας Ανά Πεδίο που Προάγει τη Διανομή Δεδομένων Δικτύου

Author

Φουκαράκης, Μιχαήλ Ιωάννη

Thesis advisor

Μαρκάτος, Ευάγγελος

Abstract

As computer networks grow in size and complexity, the need for distributed network management and monitoring becomes increasingly important. Net- work data is the single most valuable resource available to network analysts and security professionals, yet organizations and researchers are still reluctant to share data with third parties. As a result, there is a lack of realistic network traces for research studies and prototype testing and poor cooperation in network defense.
To alleviate this problem and limit sensitive information leakage, anonymization is often applied to network data prior to being publicized. Anonymization aims to obfuscate data to protect the privacy of monitored subjects, while preserving useful information about the data. Today’s approaches in this field are software utilities or ad-hoc solutions which offer limited flexibility or performance.
Our proposal is Anontool , an application which aims to provide a flex- ible and efficient solution to deal with anonymization on every layer of a network packet. Anontool uses the Anonymization API (AAPI) and extends it to support the popular NetFlow and IPFIX protocols. We also developed two new anonymization primitives to address attacks against the anonymized traces’ privacy. Furthermore, we have implemented a way to find and anonymize sensitive information within binary packet payloads, in particular malicious executable payloads. Our evaluation shows Anontool is one of the most flexible and powerful tools currently available, and our experimental results suggest that Anontool outperforms tools with similar functionality and is on par with specialized tools.

Physical description

xviii, 73 σ. : εικ. ; 30 cm.

Language

English

Issue date

2008-12-04

Collection

School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses

Type of Work--Post-graduate theses

Permanent Link

https://elocus.lib.uoc.gr//dlib/f/c/3/metadata-dlib-7519d989591676f0db6b71b5dc15493a_1249051243.tkl