Authorized Data Secure Access Scheme With Specified Time and Relevance Ranked Keyword Search for Industrial Cloud Platforms

Abstract

With the dramatically increase in the scale of Internet data, industrial cloud platforms have put forward higher requirements for data access control and keyword search. Although existing attribute-based encryption technology is suitable for realizing data access control, the problems of large number of matching contents of search results and high computational overhead remain exist. In light of this, an authorized data secure access scheme with specified time and relevance ranked keyword search is proposed to achieve accurate matching of the search results and reduce user’s cost. First, an authorization token on attribute-based access policy and the specified time is constructed. According to the token, the data meeting the access policy is selected within the specified time. Second, we leverage order-preserving index and extended keyword vector to construct keyword index, then the search results of user specified amount are sorted by relevance score. With the use of specified time and relevance for twice screening, the user can get the relevant search results accurately. Finally, the security proof and efficiency analysis show that the scheme is of feasibility.