Ranking Optimization with Security Awareness
Date Issued
2015
Date
2015
Author(s)
Ku, Chia-Yi
Abstract
Since cloud service are wide-spread used nowadays, more and more users store their data on cloud storage (e.g., Dropbox, Google Drive, Apple iCloud Drive, etc.) for management. However, because of the risks of information leakage, user might tend not to store sensitive personal data in cloud. Thus some privacy requirements and corresponding technologies are being proposed. One of the requirements is search pattern privacy (i.e., hiding the query search’s result). To avoid a third party infer query correlation from result correlation (i.e., similar query results might come from similar queries). And preventing focused attack because of private interest leakage. Unfortunately, existing search pattern hiding techniques have some shortcomings. For example, the method does not consider rank order, do not maintain ranking performance, or is inefficient. Thus, based on the relevance score between document and query keyword, we propose the concept of peer. Not only to generate as different result as possible by the same query, but also maintain ranking performance. That means achieve search pattern privacy.
Subjects
security
search pattern privacy
ranking performance
rank correlation
peer-based
Type
thesis
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