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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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ENSURING IMAGE PRIVACY AND USER TRUST IN SOCIAL NETWORKING PLATFORMS

Authors: Emerging Trends in Digital Transformation;

ENSURING IMAGE PRIVACY AND USER TRUST IN SOCIAL NETWORKING PLATFORMS

Abstract

The rapid growth of social media has increased photo sharing, raising concerns about the exposure of personal and sensitive information. When images contain multiple individuals, protecting their privacy becomes essential. This paper presents a trust-based approach for secure sharing of jointly owned photos. The proposed method anonymizes images by masking the identities of individuals at risk, with the level of anonymization determined by the publisher’s privacy requirements and the trust level of the recipient. A greedy threshold selection technique is used to balance privacy protection and image usability. Experimental results show that the proposed method effectively reduces the risk of privacy leakage while maintaining acceptable data quality, enabling safer and more reliable photo sharing in social media platforms.

Keywords

online social networks, photo sharing, privacy preserving, Social trust, anonymization

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    popularity
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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