Privacy-Preserving Social Media with a Disclosure

Miyaji, Hideaki; Hsu, Po-Chu; Miyaji, Atsuko

doi:10.1109/candarw57323.2022.00010

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…This paper is the final version of the study presented at CANDAR 2022 [19], wherein only features (1) and (2) were achieved. In this final version, we implemented features (3)-( 6) into PPSMD.…”

Section: ) Security Measures Against Spoofing Attacksmentioning

confidence: 99%

Privacy-Preserving Social Media With Unlinkability and Disclosure

2023

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Social media (SM) has become a primary communication tool in the modern world, with an ever-increasing volume of users. Many SM users use anonymous nicknames as their public usernames. However, Zhang et al. (2018) were able to demonstrate an attack that can identify users from the contents of their posts. This attack is caused by the fact that two different posts can be guessed to be the same user. Such linking of different posts is called a linkable feature. On the other hand, usually post under an anonymous nickname, but when a post is thrust into the limelight, we may want to claim the post as our own. Unfortunately, however, current SM offers only two options: using an anonymous nickname or publishing under our own name. In other words, the function of disclosure, which is to make some posts public even though they are usually anonymous, has not been realized in existing SM. In this paper, we propose a SM with unlinkability and disclosure simultaneously, which is achieved by applying a commitment scheme. A commitment scheme consists of commitment and decommitment phases. As for unlinkability, we newly introduce a one-time post name, which is a commitment value of nickname and post. As for disclosure, we use a decommitment phase to one-time post name. We also have demonstrated that our SM is practically feasible.

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Section: ) Security Measures Against Spoofing Attacksmentioning

confidence: 99%

Privacy-Preserving Social Media With Unlinkability and Disclosure

2023

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“…Social norms and beliefs in social media platforms influence user privacy behavior. Users are more likely to follow applicable social norms regarding information disclosure and privacy protections (Miyaji, Hsu and Miyaji, 2022). The perceived reliability of a platform affects a user's willingness to share personal information.…”

Section: Literature Reviewmentioning

confidence: 99%

User Awareness of Security and Privacy in Social Networking Sites

Krishnappa

2023

IJEAST

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The rapid expansion and widespread adoption of social networking sites have created new security and privacy challenges for individuals. This study will assess users' awareness of the security and privacy measures and their understanding of potential risks and vulnerabilities. The study uses a quantitative survey to collect data on users' perceptions, understandings, and experiences about security and privacy on social sites. The results will be analyzed to identify trends, knowledge gaps, and user perceptions, providing insight into the current landscape of user perceptions and insights. The outcome of this study will be useful in formulating plans and recommendations to improve security measures and promote responsible online behavior among social network administrators, policymakers, and users. This study aims to provide users with the necessary knowledge to adequately protect themselves in the digital age by highlighting their awareness and understanding of security and privacy on social networks.

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