A designated tester-based certificateless public key encryption with conjunctive keyword search for cloud-based MIoT in dynamic multi-user environment

Abstract

One of the essential technologies in the medical industry for achieving high performance and accuracy is the Medical Internet of Things (MIoT). The MIoT technology processes a large amount of patient information in real-time. And therefore, it poses a high risk of leaking personal information. Furthermore, as data is sent over public networks, security is critical in MIoT. To overcome the above issues, we developed a designated tester-based Certificateless Public-key Encryption with Conjunctive Keyword search for cloud-based MIoT in dynamic multi-user environment (dCL-PECK). This study explores three features: (1). A secure channel is not necessary to transfer the data from the data-user (i.e., data owner or data receiver) to the designated tester (i.e., medical cloud server) and allows only the designated tester to execute the test algorithm. (2). Data is encrypted only once for multiple data users and supports conjunctive keyword search. (3). Users are added and revoked dynamically. Furthermore, the proposed scheme is provably secure under ciphertext indistinguishable against inside and outside adversaries and trapdoor indistinguishable against outside adversaries. Finally, theoretical and experimental analyses have been performed, demonstrating that the proposed system is better than similar Certificateless Keyword Search (CLKS) systems. As a result, we feel that it is suitable for cloud-based MIoT.