Advanced search ?

Object

Download

Title: A Novel Graph-modification Technique for User Privacy-preserving on Social Networks, Journal of Telecommunications and Information Technology, 2019, nr 3

Creator:

Mortazavi, Reza ; Hamideh, Erfani Seyedeh

Date:

2019, nr 3

Resource Type:

artykuł

Description:

The growing popularity of social networks and the increasing need for publishing related data mean that protection of privacy becomes an important and challenging problem in social networks. This paper describes the (k,l k,l k,l)-anonymity model used for social network graph anonymization. The method is based on edge addition and is utility-aware, i.e. it is designed to generate a graph that is similar to the original one. Different strategies are evaluated to this end and the results are compared based on common utility metrics. The outputs confirm that the na¨ıve idea of adding some random or even minimum number of possible edges does not always produce useful anonymized social network graphs, thus creating some interesting alternatives for graph anonymization techniques.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2102

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

social networks graph-modification graph anonymization database security privacypreserving publication of data

Object collections:

Last modified:

Oct 23, 2019

In our library since:

Oct 23, 2019

Number of object content hits:

85

All available object's versions:

https://bc.itl.waw.pl/publication/2392

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Hamideh, Erfani Seyedeh; Mortazavi, Reza, A Novel Graph-modification Technique for User Privacy-preserving on Social Networks, Journal of Telecommunications and Information Technology, 2019, nr 3 Oct 23, 2019

Objects Similar
Application of Social Network Inferred Data to Churn Modeling in Telecoms, Journal of Telecommunications and Information Technology, 2016, nr 2

Arabas, Piotr Gruszczyński, Witold

2016, nr 2
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information