Abstract
At present, with the popularity of Internet of things (IoT), a huge number of datasets generated by IoT devices are being uploaded to the cloud storage in remote data management service, but a series of security and privacy defects also arises, where one of the best ways for preventing data disclosure is encryption. Among them, searchable encryption (SE) is considered to be a very attractive cryptographic technology, since it allows users to search records in an encrypted form and to protect user’s data on an untrusted server. For the sake of enhancing search permission, attribute-based keyword search (ABKS) is an efficient method to provide secure search queries and fine-grained access authentications over ciphertexts. However, most existing ABKS schemes concentrate on single keyword search, which usually returns redundant and irrelevant results, so it would cost some unnecessary computation and communication resources. Furthermore, existing work in the literature mostly only supports unshared multiowner where a specific data owner owns each file, which is not able to satisfy more desired expressive search. In this work, we propose a novel attribute-based multikeyword search for shared multiowner (ABMKS-SM) primitive in IoT to achieve enhanced access control for users; meanwhile, it can support multikeyword search over ciphertexts and give a formal security analysis in the adaptive against chosen keyword attack (IND-CKA) model. Finally, we have also implemented this prototype to show efficiency when compared with some previous schemes.
Highlights
With the rapid advances of Internet of things [1, 2] technology, IoT devices produce large quantities of datasets that require being securely stored and efficiently shared among different users
In order to mitigate the concern, the simple and efficient solution is to encrypt the storage of data to prevent information from being exposed to server, but one limitation is that the encryption mechanism inevitably brings about inflexibilities of data accessing when used to some extent, such as querying keywords on encrypted datasets
Our time costs are related to the number of search keywords, but hash operation H is less than exponentiation operation E. erefore, our construction is more superior to CP-attribute-based keyword search (ABKS) and ABKS-SM scheme regarding generating the trapdoor time
Summary
With the rapid advances of Internet of things [1, 2] technology, IoT devices produce large quantities of datasets that require being securely stored and efficiently shared among different users. With the purpose of protecting privacy, the traditional cloud-based access control system is not suitable anymore, because the server cannot be fully trusted To solve this issue, attribute-based encryption (ABE) [7,8,9,10,11,12,13,14] achieves flexible access authentications over shared data for users, which is a promising cryptographic tool adopted in searchable encryption. We first put forward an efficient attributebased multikeyword search for shared multiowner (ABMKS-SM) scheme in Internet of things with fine-grained access control through AND-gate access structure and LSSS. Based on LSSS technology, our scheme only allows data users to obtain valid authorizations from multiple data owners to decrypt the search results, which is suitable for multiowners sharing scenarios. (1) We first design an efficient and secure ABMKS-SM scheme for IoT environments, where multiple data owners enable controlling user’s search permissions and only legitimate users with authorizations could search for outsourced data.
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