Published Paper Details:

In many IoT applications, the cost of data management and infrastructure investment has been significantly reduced thanks to the emerging cloud-based IoT paradigm, which enables IoT devices to directly upload their collected data to a distant cloud and gives data owners convenient access to those data through cloud APIs. Given that data owners don't have direct access to the outsourced data, and How to safely erase the unnecessary sensitive data saved in the cloud because the cloud server cannot always be completely trusted to avoid potential. The problem of data leakage is quite difficult. Most current solutions rely on user participation and only offer coarse-grained deletion of the cloud server, which severely limits its practicability and versatility. In this research, we offer a safe and precise self-controlled outsourced data deletion technique for cloud-based IoT, based on an upgraded policy-based puncturable encryption (P-PUN-ENC) primitive. Our system's key value is that it gives data owners a policy-based approach to precisely and permanently remove their outsourced IoT-driven data without depending on a cloud server. In order to accomplish this, we deftly take use of the logical connection between puncture policy and access policy and create a policy transform method to change the puncture process based on puncture policies into an update process of access policies. Then, we carry out the relevant key update activities using the attribute-based encryption (ABE) key delegation approach. In addition, to solve the issue of P-PUN-rising ENC's key storage and decryption costs, we suggest the outsourced key and decryption outsourcing technique with P-PUN-ENC to create the outsourced policy-based puncturable encryption (OP-PUN-ENC) primitive. A thorough analysis of the alternatives reveals that our suggested solution can more effectively satisfy the cloud-based IoT's data deletion needs. Additionally, a formal security proof and detailed simulation results indicate how reliable and effective the suggested solution is.