Privacy-preserving data deduplication in edge-assisted mobile crowdsensing
by Yili Jiang; Kuan Zhang; Yi Qian; Rose Qingyang Hu
International Journal of Multimedia Intelligence and Security (IJMIS), Vol. 4, No. 1, 2022

Abstract: Mobile crowdsensing enables the collaborative data collection between mobile workers and centralised cloud server. When sensing data from the surrounding environment, workers in the same location may generate the identical data report. Although edge intelligence is integrated to remove the redundant data by comparing the report content, disclosing the sensing data to the edge nodes results in severe privacy leakage. To detect and remove duplicated data without revealing the content, encryption-based data deduplication schemes are the main solutions. However, the existing schemes have high computational cost due to heavy cryptographic primitives. In this work, we propose a pairing-based data deduplication scheme with lower computational cost. The proposed scheme guarantees both secure data deduplication and secure contributor identification. In addition, by deploying proxy re-encryption, the privacy of task location is preserved. The experimental results demonstrate that the proposed scheme achieves better computational efficiency than the other schemes.

Online publication date: Thu, 03-Mar-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Multimedia Intelligence and Security (IJMIS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com