A novel attribute-based access control system for fine-grained privacy protection

Author(s):  
Ha Xuan Son ◽  
Nguyen Minh Hoang
2015 ◽  
Vol 4 (3) ◽  
pp. 276-287 ◽  
Author(s):  
Boniface K. Alese ◽  
Sylvester O. Olatunji ◽  
Oluwatoyin C. Agbonifo ◽  
Aderonke F. Thompson

2018 ◽  
Vol 40 ◽  
pp. 31-43 ◽  
Author(s):  
Panagiotis Andriotis ◽  
Gianluca Stringhini ◽  
Martina Angela Sasse

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jingwei Wang ◽  
Xinchun Yin ◽  
Jianting Ning

Mobile crowdsensing enables people to collect and process a massive amount of information by using social resources without any cost on sensor deployment or model training. Many schemes focusing on the problems of task assignment and privacy preservation have been proposed so far. However, the privacy-preserving of requesters and task access control, which are vital to mobile crowdsensing, is barely considered in the literature. To address the aforementioned issues, a fine-grained task access control system for mobile crowdsensing is proposed. In particular, the requester can decide the group of task performers who can access the task by utilizing attribute-based encryption technology. T he untrusted crowdsensing platform cannot obtain any sensitive information concerning the requester or the task, while the qualified task performers are capable of retrieving tasks within 0.85 ms. Security analysis and experimental results are presented to show the feasibility and efficiency of the proposed system.


2005 ◽  
Vol 9 (2) ◽  
pp. 143-171 ◽  
Author(s):  
Elisa Bertino ◽  
Anna C. Squicciarini ◽  
Ivan Paloscia ◽  
Lorenzo Martino

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