Towards Privacy-Preserving Content Sharing for Online Social Networks

@article{Phithakkitnukoon2018TowardsPC,
  title={Towards Privacy-Preserving Content Sharing for Online Social Networks},
  author={Santi Phithakkitnukoon},
  journal={Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers},
  year={2018}
}
  • S. Phithakkitnukoon
  • Published 8 October 2018
  • Computer Science
  • Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
This paper presents presents an approach to preserve privacy for content sharing in online social networks. The approach is based on the concept of friendship strengths and social ties within a friendship circle. Friends can be categorized into different groups according to social strength e.g., close friends, just friends, and distant friends. Therefore, there are corresponding levels of privacy concerns. The paper describes a mechanism that categorizes a friend list based on "social context… 

Figures from this paper

References

SHOWING 1-10 OF 22 REFERENCES

Privacy-Preserving Friendship Relations for Mobile Social Networking W 3 C Workshop on the Future of Social Networking – Position Paper

The privacy-deteriorating consequences of unilateral friendship disclosure are quantified for an existing medium-sized social network site and a lightweight implementation of hidden friendship using existing standards is proposed and assessed for practicable and secure deployment in a mobile networking scenario.

To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles

This work shows how an adversary can exploit an online social network with a mixture of public and private user profiles to predict the private attributes of users, and proposes practical models that use friendship and group membership information to infer sensitive attributes.

Privacy suites: shared privacy for social networks

A new paradigm is proposed which allows users to easily choose "suites" of privacy settings which have been specified by friends or trusted experts, only modifying them if they wish, which could dramatically increase the privacy protection that most users experience with minimal time investment.

Characterizing privacy in online social networks

This study examines popular OSNs from a viewpoint of characterizing potential privacy leakage, and identifies what bits of information are currently being shared, how widely, and what users can do to prevent such sharing.

Privacy Protection for Social Networking Platforms

A privacy-by-proxy design for a privacy-preserving API is presented, motivated by an analysis of the data needs and uses of Facebook applications, which found that nearly all applications could maintain their functionality using a limited interface that only provides access to an anonymized social graph and placeholders for user data.

Link Privacy in Social Networks

Any social network that wishes to protect the link privacy of its users should take great care in choosing the lookahead of its interface, limiting it to 1 or 2, whenever possible.

Measurement and analysis of online social networks

This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network.

Analyzing Privacy Designs of Mobile Social Networking Applications

It is suggested that today's mobile SNAs need better privacy protection on construction and accessibility, to handle increasingly popular mash-ups between different SNA sites and to identify two unexpected privacy breaches and suggest three potential location misuse scenarios.

Structure and evolution of online social networks

A simple model of network growth is presented, characterizing users as either passive members of the network; inviters who encourage offline friends and acquaintances to migrate online; and linkers who fully participate in the social evolution of thenetwork.

Why we twitter: understanding microblogging usage and communities

It is found that people use microblogging to talk about their daily activities and to seek or share information and the user intentions associated at a community level are analyzed to show how users with similar intentions connect with each other.