Toward fine‐grained access control and privacy protection for video sharing in media convergence environment

2022 ◽  
Author(s):  
Farooq Ahmed ◽  
Lingbo Wei ◽  
Yukun Niu ◽  
Tianyu Zhao ◽  
Wei Zhang ◽  
...  
Keyword(s):  
Access Control ◽  
Privacy Protection ◽  
Media Convergence ◽  
Fine Grained ◽  
Video Sharing

Towards Efficient Fine-Grained Access Control and Data Privacy Protection for Smart Home

2021 ◽  
pp. 501-515
Author(s):  
Shuaiyong Shen ◽  
Yang Yang ◽  
Zuobin Ying ◽  
Ximeng Liu
Keyword(s):  
Access Control ◽  
Privacy Protection ◽  
Smart Home ◽  
Data Privacy ◽  
Fine Grained ◽  
Data Privacy Protection

scholarly journals Privacy-Enhancing k-Nearest Neighbors Search over Mobile Social Networks

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 3994
Author(s):  
Yuxi Li ◽  
Fucai Zhou ◽  
Yue Ge ◽  
Zifeng Xu
Keyword(s):  
Social Networks ◽  
Access Control ◽  
Location Privacy ◽  
Nearest Neighbors ◽  
Search Pattern ◽  
Broadcast Encryption ◽  
Mobile Social Networks ◽  
K Nearest Neighbors ◽  
Fine Grained ◽  
Server Architecture

Focusing on the diversified demands of location privacy in mobile social networks (MSNs), we propose a privacy-enhancing k-nearest neighbors search scheme over MSNs. First, we construct a dual-server architecture that incorporates location privacy and fine-grained access control. Under the above architecture, we design a lightweight location encryption algorithm to achieve a minimal cost to the user. We also propose a location re-encryption protocol and an encrypted location search protocol based on secure multi-party computation and homomorphic encryption mechanism, which achieve accurate and secure k-nearest friends retrieval. Moreover, to satisfy fine-grained access control requirements, we propose a dynamic friends management mechanism based on public-key broadcast encryption. It enables users to grant/revoke others’ search right without updating their friends’ keys, realizing constant-time authentication. Security analysis shows that the proposed scheme satisfies adaptive L-semantic security and revocation security under a random oracle model. In terms of performance, compared with the related works with single server architecture, the proposed scheme reduces the leakage of the location information, search pattern and the user–server communication cost. Our results show that a decentralized and end-to-end encrypted k-nearest neighbors search over MSNs is not only possible in theory, but also feasible in real-world MSNs collaboration deployment with resource-constrained mobile devices and highly iterative location update demands.

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