Abstract
The Journal of Surveillance, Security and Safety is an international, peer-reviewed, open access journal which provides a forum for the publication of papers addressing the variety of theoretical, methodological, epistemological, empirical and practical issues concerns reflected in the field of information security, cyber security, machine learning, emerging technologies, and their applications.
Highlights
With the advent of cloud computing, data owners are motivated to outsource their personal data from local repositories to the cloud to increase flexibility, convenience and to reduce the burden of the local data maintenance costs
In this paper, we address the problem of leakless privacy-preserving multi-keyword ranked search over encrypted cloud data (LRSE), and our new contributions address challenging problems of search pattern, and cooccurrence information leakage in the cloud
This paper tackles the problem of leakless privacy preserving multi-keyword ranked search over encrypted cloud data (LRSE), and we solve the problem of search pattern, and co-occurrence private information leakage
Summary
Our security and performance analysis shows that the proposed scheme guarantees a high level of privacy/security and efficiency.
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