Decentralized privacy preserving services for Online Social Networks

Bahri, Leila; Carminati, Barbara; Ferrari, Elena

doi:10.1016/j.osnem.2018.02.001

Cited by 51 publications

(40 citation statements)

References 4 publications

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“…Efforts are rife in literature with the aim of logically decentralizing the functionalities of OSNs and mitigate privacy issues. Based on the literature, decentralized architectures can be implemented using multiple independent and trusted servers [2,13,30]. Some of these efforts used federated architectures as proposed in [26].…”

Section: State-of-the-art In Online Social Network Sensitive Data Promentioning

confidence: 99%

“…Web 2.0 remain a critical network infrastructure and knowledge platform for entities -man, machine, group, and even brain-like computer -to exchange and share information, knowledge, wisdom and data [3]. One of the most remarkable phenomena that blossomed in the Web 2.0 era is Online Social Networks (OSNs) that include Facebook, MySpace, also addresses the challenges of the Free-service provisioning capability of the OSNs model that supports targeted and retargeted marketing intentions that makes it easy for malicious users to target users' sensitive data [11][12][13]. Therefore, it will be difficult to give the users of OSN a false hope of control over their privacy of data [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards an Architecture-based Ensemble Methods for Online Social Network Sensitive Data Privacy Protection

Idepefo

Akhigbe

Aderibigbe

et al. 2021

Int. J. Recent Contrib. Eng. Sci. IT

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Abstract - In 2014, the world woke up to a giant data breach that leveraged users’ personal information that was taken from one of the world’s biggest social network platform. Based on the literature, this was possible because of the Centralised Architectural-based Approach to protecting the privacy of users’ online data. Although the literature is inundated with decentralized approaches, there is none to the best of our knowledge that uses an ensemble of methods and draws on a consensus mechanism to address the challenges caused by the Centralised Architectural-based Approach. This paper presents a decentralized approach that adopts and adapts an ensemble of methods. These methods include cryptographic, hashing, and the plenum byzantine fault tolerance algorithms that present a consensus platform, protocol, and mechanism to use the technology of blockchain in a novel manner as a significant contribution. This paper adopts the descriptive approach in its presentation as the usable implementation of the presented proposal is near completion with issues of computational overhead addressed based on preliminary results that show promise of being able to support agreement up to ≈ 75% in terms of making changes by participants in the chain.

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Section: State-of-the-art In Online Social Network Sensitive Data Promentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards an Architecture-based Ensemble Methods for Online Social Network Sensitive Data Privacy Protection

Idepefo

Akhigbe

Aderibigbe

et al. 2021

Int. J. Recent Contrib. Eng. Sci. IT

View full text Add to dashboard Cite

show abstract

“…In fact, without proper design and implementation, decentralized online social networks can have serious issues on users' privacy. A comparison between two architectures, decentralized and centralized online social networks, with regards to users' privacy is discussed in [18].…”

Section: Sn Computer Sciencementioning

confidence: 99%

Interaction and Visualization Design for User Privacy Interface on Online Social Networks

Dang

Küng

2020

SN COMPUT. SCI.

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The number of users participating in online social networks is increasing significantly recently. As a result, the amount of information created and shared by them is exploding. On the one hand, sharing information online helps people stay in touch with each other, although virtually. But on the other hand, sharing too much information may lead to sensitive personal data being leaked unexpectedly. To protect their users' private information, online social network providers often employ technical methods like access control, cryptography, privacy preserving data processing, among others. Although these approaches are good enough for their designated purposes, they provide little to no protection when are used wrongly. To reduce the number of mistakes users may make, online social network providers also offer them visual interfaces, instead of lengthy and boring texts, for privacy settings selection and configuration. Unfortunately, private information is still shared publicly, with or without its owners' awareness. In this paper, we attempt to mitigate the privacy leakage problem by proposing a novel visual model for measuring and representing users' privacy in online social network environment and associated privacy controller for protecting it. A concrete instance of the model has been designed and implemented. A demonstration of the model instance has been executed for one of the biggest social networks, Facebook. Initial results indicate the effectiveness of the proposed model and its concrete instance. However, a more important and difficult problem is whether online social network providers are willing to apply these results, which may affect sharing activities and go against their business objectives.

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“…S. Rathore et al [10] constructed a labeled dataset of the two most prominent SNSs -Twitter and Facebook. L. Bahri et al [11] discuss the issues related to privacy preservation between centralization and decentralization, and provide a review of available research work on decentralized privacy preserving services for social networks. K. F. Man et al [12] introduces GA and developed a framework of a design tool for industrial engineers.…”

Section: Related Workmentioning

confidence: 99%

Efficient Algorithm and Framework for Interesting Patterns Generation for optimization of Association rule mining using genetic Algorithm for Social Networking Sites

Nidhi¹,

Veenadhari²

2018

IJCA

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Social Networking (SN) plays an important part in real life because people is already connected in any types of social network like facebook, twitter, linkedin, instagram etc. SN gives a platform to people to share their ideas to each other. Moreover this type of online community, people may share their common interest. SN is a medium of making link with people having unique or common interest and goals. But there are various challenges in SN services. The major challenge is privacy it means keeping your information private isn"t just about your own choices. It"s about your friends" choices, too. In this article a novel Algorithm proposed for Interesting Patterns Generation (AIPG) and framework for interesting patterns generation from weblog. This approach is also helpful in SN

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Decentralized privacy preserving services for Online Social Networks

Cited by 51 publications

References 4 publications

Towards an Architecture-based Ensemble Methods for Online Social Network Sensitive Data Privacy Protection

Towards an Architecture-based Ensemble Methods for Online Social Network Sensitive Data Privacy Protection

Interaction and Visualization Design for User Privacy Interface on Online Social Networks

Efficient Algorithm and Framework for Interesting Patterns Generation for optimization of Association rule mining using genetic Algorithm for Social Networking Sites

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