Efficient Unbounded Fully Attribute Hiding Inner Product Encryption in Cloud-Aided WBANs

Abstract

By integrating cloud computing and traditional wireless body area networks (WBANs), the emerging cloud-aided WBANs for smart health care have been significantly developed in recent years. However, this new technique that is now in its infancy days also suffers from some challenging issues resulted from untrustworthy cloud servers, such as data security. While attribute-based encryption seems to be suitable for ensuring data security in such complex scenarios, the flaw of existing ABE works in policy hiding inevitably leads to extra privacy issues. For efficiently guaranteeing data security without revealing anything privacy information about the data owner, we adopt the conception named inner-product encryption (IPE) in this article and propose a full attribute hiding IPE scheme that concurrently achieves unbounded attribute vectors and acceptable communication as well as computation efficiency. Compared with the only existing IPE scheme presented by Okamoto and Takashima that simultaneously achieves full attribute hiding and unbounded attributes, our scheme not only covers all the merits in their scheme but also has the high practicality due to tinier size of public parameters and more desirable computation efficiency. Eventually, performance comparisons and implementation results reveal that our article is highly feasible and effective than other works.