Attribute-Based Weighted Keyword Search Scheme Supporting Multi-Search Mechanism in Fog Computing
Shulan Wang, Yuan Li, Haiyan Wang, Jianwen Zhang, Jianyong Chen · 2020
With the popularity of intelligent terminal, fog computing as a new generation of internet technology can integrate the computing power of terminals and improve the effective utilization of social resources. At the same time, more and more data owners store ciphertext in the network. Hence, the advent of searchable encryption (SE) scheme enables searchers to search ciphertext without downloading all of it. However, the existing SE scheme cannot identify the matching degree of keywords and ciphertext. Besides, these schemes can only provide one or two search mechanism. In this paper, we propose a ciphertext-policy attribute-based weighted keyword searchable encryption scheme (ABWKS-MSM) in fog computing in order to solve the matching degree issue and provide multi-search mechanism, so that it becomes more friendly to fog computing applications. Furthermore, the proposed weighted keyword model can reduce the computational and storage cost. Finally, the performance analysis is also given, which proves that our scheme is efficient and feasible in fog computing.