POSN: A privacy preserving decentralized social network app for mobile devices

Klukovich, Eric; Erdin, Esra; Güneş, Mehmet Hadi

doi:10.1109/asonam.2016.7752436

Cited by 9 publications

(6 citation statements)

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“…Without loss of generality, we can assume that the selected privacy enforcement models allow users to protect the contents they publish by defining the group of users who can access these contents. As a matter of fact, Section 2 shows that a very common solution to express privacy preferences in DOSNs LKH+TGDH [31] Vis-a-Vis [8] LifeSocial.KOM [10] DOSN LKH [28,32] My3 [34] DECENT [43] LKH+OFT [30] DiDuSoNet [36] SocialGate [12] Shi R.H. et al [44] Privacy Policy [38,39] LotusNet [13] ELK [45] Trust [35] Contrail [42] OFT [33] Zeng S. et al [46] ProofBook [40] LKH [29] eXO [47] Safebook [7] DGKD [48] Solid [49] SuperNova [14] Bortoli S. et al [50] LibreSocial [41] BCOSN [51] WebP2P [52] Megaphone [53] SEDOSN [54] ReClaim [55] PSON [56] (and OSNs) is the definition of groups of users. An alternative solution to specify the users who can access a content is the one that expresses privacy preferences through attribute based access control policies.…”

Section: Classification Of the Content Privacy Enforcement Modelsmentioning

confidence: 99%

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Content Privacy Enforcement Models in Decentralized Online Social Networks: State of Play, Solutions, Limitations, and Future Directions

Salve¹,

Mori²,

Ricci³

et al. 2022

Preprint

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Section: Classification Of the Content Privacy Enforcement Modelsmentioning

confidence: 99%

“…Consequently, the members of group G use K G for accessing the contents published in the group. For instance, PSON [56], Safebook [7], LotusNet [13], Contrail [42], ProofBook [40], SuperNova [14], and Megaphone [53] exploit the symmetric group key to encrypt all the contents shared in a group, i.e., C 0 , C 1 , .....C n .…”

Section: Encryption-based Approachesmentioning

confidence: 99%

Content Privacy Enforcement Models in Decentralized Online Social Networks: State of Play, Solutions, Limitations, and Future Directions

Salve¹,

Mori²,

Ricci³

et al. 2022

Preprint

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“…[35] developed an approach that uses the Ciphertext-Policy Attribute-Based Encryption (CP-ABE) toolkit and Google Drive to hold encrypted messages. A cloudbacked P2P with decentralized and encrypting capability for personalized online social networking was proposed by [36]. In a related work, an infrastructure surrogate with content key that is symmetrically random, and in turn is encrypted with a proper ABE key was developed by [25].…”

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

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

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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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“…Nonetheless, these services expose the sensitive information of users such as their location and the location privacy is especially concerned in these systems. Recently, there have been many researches which are conducted to tackle this problem [54][55][56][57]. In the research of [16], the negative survey was used to resolve the problem.…”

Section: Privacy In Mobile Social Networkmentioning

confidence: 99%

Privacy issues in social networks and analysis: a comprehensive survey

Pham

Sood

et al. 2018

IET Networks

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Social networks have become part of today's life; however, they also create numerous privacy problems for their users as they reveal sensitive information. Thus, the privacy preservation has become a big problem in social networks and there are several researches related to this topic. However, the current research achievements for this issue are only ad hoc solutions and the broad picture of the problem is not clear. This paper surveys a wide range of related researches and realises that the topic includes many sub-areas; for example, the privacy in publishing social network data for the use of third-party consumers or the privacy of users in the leakage of individuals' information to unexpected people in their social circle. The study also analyses the advantages as well as limitations of proposed solutions. On the basis of that the research outlines key outstanding issues and recommends directions for the future research. Moreover, the research also investigates common privacy metrics and popular privacy-preserving techniques to provide readers some basic tools to resolve open problems in the topic. The ultimate purpose of this research is to pave a solid background for people, who are interested in the topic, to do research further.

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POSN: A privacy preserving decentralized social network app for mobile devices

Cited by 9 publications

References 0 publications

Content Privacy Enforcement Models in Decentralized Online Social Networks: State of Play, Solutions, Limitations, and Future Directions

Content Privacy Enforcement Models in Decentralized Online Social Networks: State of Play, Solutions, Limitations, and Future Directions

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

Privacy issues in social networks and analysis: a comprehensive survey

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