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Reseach Article

Survey on Preserving Privacy using Encrypted Communication in Online Social Networks

Published on May 2016 by Swati Pulkurte, V.v. Dakhode
National Conference on Advancements in Computer & Information Technology
Foundation of Computer Science USA
NCACIT2016 - Number 2
May 2016
Authors: Swati Pulkurte, V.v. Dakhode
a12acb53-e969-4f2c-9598-5c0dd78232e1

Swati Pulkurte, V.v. Dakhode . Survey on Preserving Privacy using Encrypted Communication in Online Social Networks. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 2 (May 2016), 6-8.

@article{
author = { Swati Pulkurte, V.v. Dakhode },
title = { Survey on Preserving Privacy using Encrypted Communication in Online Social Networks },
journal = { National Conference on Advancements in Computer & Information Technology },
issue_date = { May 2016 },
volume = { NCACIT2016 },
number = { 2 },
month = { May },
year = { 2016 },
issn = 0975-8887,
pages = { 6-8 },
numpages = 3,
url = { /proceedings/ncacit2016/number2/24703-3037/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancements in Computer & Information Technology
%A Swati Pulkurte
%A V.v. Dakhode
%T Survey on Preserving Privacy using Encrypted Communication in Online Social Networks
%J National Conference on Advancements in Computer & Information Technology
%@ 0975-8887
%V NCACIT2016
%N 2
%P 6-8
%D 2016
%I International Journal of Computer Applications
Abstract

The popularity of online social networks is constantly increasing due to various advantages such as online communication and sharing information among friends. Online social network applications severely suffer from various issues such as security, privacy. However, users want to make new friends to enlarge their social connections as well as to obtain information from thousands of people. Extensively in the recent past Friend recommendation is a very important application in many online social networks (OSNs). There is a strong need to develop privacy-preserving friend recommendation methods for social networks as user privacy is main concern nowadays. Online Social Networks (OSNs), not only attract millions people to use every day but also greatly extend OSN users social circles by using friend recommendations. This paper is motivated by need of friend recommendation without revealing privacy and security while using social networks.

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Index Terms

Computer Science
Information Sciences

Keywords

Online Social Networks Data Privacy Trust Privacy Protection Algorithms.