Privacy Preserving Techniques in Social Networks Data Publishing - A Review

Singh, Amardeep; Bansal, Divya; Sofat, Sanjeev

doi:10.5120/15282-3880

Cited by 11 publications

(5 citation statements)

References 49 publications

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“…Otherwise, the social media managers impose to their users a usage policy to have their data exploitation rights. Furthermore, the OSN must protect their users accounts against any attack form and ensure their sensitive data protection (Singh et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

The Online Social Networks Analysis: State of the Art

Kassiri¹,

Belouadha²

2020

Int. J. Soft Comput.

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Nowadays, the Online Social Networks OSN emergence has expanded the scope of these needs. In fact, besides the direct links between users, the OSN have various important information about user profiles, tastes and interactions or activities. This information richness has been exploited in the literature in particular social mining techniques to answer new analytical purposes such as influence analysis, trust analysis, opinion mining, recommendation, e-reputation, protection of privacy and detection of experts.

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Section: Resultsmentioning

confidence: 99%

The Online Social Networks Analysis: State of the Art

Kassiri¹,

Belouadha²

2020

Int. J. Soft Comput.

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“…Thus the users and organizations should pay attention to cope with these threats. In the paper [71] introduced an extremely secure authentication technique using voice recognition system for cyber threats preventions on social media, [72] argued various cyber-crimes and their detection techniques . [73] highlighted the reasons of committing cybercrimes and their methods and also highlighted an analytical approach cyber-crimes trends.…”

Section: Literature Reviewmentioning

confidence: 99%

Cyber Attacks Impacting on Communication Using Social Media: Systematic Review Using Data Cluster Ball

2021

IJATCSE

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In this advanced technological era, the internet especially social media plays an important role in our lives. Because through social media everyone can easily communicate with their relatives and loving ones. Its usage is increasing day by day which also facilitate the Cyber Criminals to perform cyber acts using these networks. There are several networks such as Instagram, Twitter, Facebook and LinkedIn etc. which are utilized by the users on daily basis, though which they can communicate and share their data with their family, friends and relatives easily. But while using these networks they are unaware of their security issues. Through hacking their accounts cyber criminals can exploit their personal data and can use it for illegal acts. This article tends to provide the systematic literature review on several cyberattacks over social media. The main objective of this article is to present the cyber-attacks within literature which can helps to find out the security gaps.

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“…Privacy-preserving models usually apply tasks including masking, modifying and generalizing on the original data to protect privacy while sustaining data utility. There are various models for preserving the privacy of micro-data that have been used for social network data as well [31]. Anonymity is the best privacy protection technique with the least effect on data quality [32].…”

Section: Related Workmentioning

confidence: 99%

A privacy-preserving model to control social interaction behaviors in social network sites

Kavianpour

Tamimi

Shanmugam

2019

Journal of Information Security and Applications

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Social Network Sites (SNSs) served as an invaluable platform to transfer information across a large number of users. SNSs also disseminate users data to third-parties to provide more interesting services for users as well as gaining profits. Users grant access to third-parties to use their services, although they do not necessarily protect users' data privacy. Controlling social network data diffusion among users and third-parties is difficult due to the vast amount of data. Hence, undesirable users' data diffusion to unauthorized parties in SNSs may endanger users' privacy. This paper highlights the privacy breaches on SNSs and emphasizes the most significant privacy issues to users. The goals of this paper are to i) propose a privacypreserving model for social interactions among users and third-parties; ii) enhance users' privacy by providing access to the data for appropriate third-parties. These advocate to not compromising the advantages of SNSs information sharing functionalities.

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Privacy Preserving Techniques in Social Networks Data Publishing - A Review

Cited by 11 publications

References 49 publications

The Online Social Networks Analysis: State of the Art

The Online Social Networks Analysis: State of the Art

Cyber Attacks Impacting on Communication Using Social Media: Systematic Review Using Data Cluster Ball

A privacy-preserving model to control social interaction behaviors in social network sites

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