Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks

Content sharing, whether in Online Social Networks (OSNs) or even in the Internet of Things (IoT), serves as a pivotal link in the flow of data. To better protect the privacy of shared content, current OSNs allow sharers to manually set policies for uploaded content. However, this method of policy setting is not suitable for scenarios where IoT is deeply integrated with OSNs, as IoT devices often share content frequently and automatically. To address this issue, we propose the design, implementation, and evaluation of SmartCircles, a personalized photo-sharing and automatic deletion scheme. SmartCircles can function as a plugin within existing OSNs, supporting operations on various smart devices. It encompasses the following steps: a) Before sharing a photo, calculate the intimacy level depicted in the photo and the sharer's willingness to share. b) Before the recipient views the photo, calculate the intimacy between the sharer and the recipient, and evaluate feedback from the recipient. c) Based on the results computed above and a trade-off between profit and loss, recommend a recipient-aware automatic deletion control policy for the photo. We implement a prototype of SmartCircles, and the evaluation results demonstrate its effectiveness with an accuracy rate of policy recommendations reaching approximately 92%.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Dependable and Secure Computing
Published
2024-11-19
DOI
https://doi.org/10.1109/tdsc.2024.3501276
Citations
1
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks

Yunqing Sun, Ben Niu, Zhe Sun, Ang Li et al.
1 citations
IEEE Transactions on Dependable and Secure Computing
Internet Traffic Analysis and Secure E-voting
0.35
article

Recipient-Aware Photo Automatic Deletion Control Policy Recommendation Scheme in Online Social Networks

Yunqing Sun, Ben Niu, Zhe Sun, Ang Li, Haiyang Luo, Binghui Wang, Jin Cao
article en
1 citations

Abstract

Content sharing, whether in Online Social Networks (OSNs) or even in the Internet of Things (IoT), serves as a pivotal link in the flow of data. To better protect the privacy of shared content, current OSNs allow sharers to manually set policies for uploaded content. However, this method of policy setting is not suitable for scenarios where IoT is deeply integrated with OSNs, as IoT devices often share content frequently and automatically. To address this issue, we propose the design, implementation, and evaluation of SmartCircles, a personalized photo-sharing and automatic deletion scheme. SmartCircles can function as a plugin within existing OSNs, supporting operations on various smart devices. It encompasses the following steps: a) Before sharing a photo, calculate the intimacy level depicted in the photo and the sharer's willingness to share. b) Before the recipient views the photo, calculate the intimacy between the sharer and the recipient, and evaluate feedback from the recipient. c) Based on the results computed above and a trade-off between profit and loss, recommend a recipient-aware automatic deletion control policy for the photo. We implement a prototype of SmartCircles, and the evaluation results demonstrate its effectiveness with an accuracy rate of policy recommendations reaching approximately 92%.

IEEE Transactions on Dependable and Secure ComputingVol. 22(3)
Northwestern University (US), Xidian University (CN), Duke University (US), Illinois Institute of Technology (US), Chinese Academy of Sciences (CN), Guangzhou University (CN), McCormick (United States) (US), Institute of Information Engineering (CN), University of Maryland, College Park (US)
Openalex Percentile: Top 32%
Internet Traffic Analysis and Secure E-voting
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.