A NOVEL APPROACH TO PROTECT CLOUD-BASED IIoT SENSITIVE DATA USING DYNAMIC ABE SCHEME

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

The industrial internet of things is bending towards developing technology. The main concern in the presence of abundant data is the security and the capturing of the time-series data when a particular process is being carried on. Security concerns come into the limelight when the collected IoT time-series data is uploaded to the cloud for further processing. When large data is being handled, it faces major efficiency and key leakage issues. And using the traditional encryption and decryption techniques for the encrypting and decryption process of the captured IoT data might cause some efficiency problems. In this article, we ensure to provide better efficiency and diminish the key leakage issues that are generally faced. In our scheme, we propose a reliable IIoT cloud-based data access control approach. The scheme we propose is based on how the RFID tags can be replaced by the BLE (Bluetooth-Low Energy) or the UWB (Ultra-wide range Bluetooth).Our scheme enables users to enforce a novel approach to secure their sensitive data using the cipher text policies and access controls that provide the maximum level of security to the data that is to be kept confidential. Our scheme adopts a hybrid cloud infrastructure to allow the users to use the policies and the CP-ABE tasks which are expensive. Our scheme guarantees strong privacy protection which may be a concern in the older versions which might lack optimal efficiency results. This scheme, with the help of item-level data security, ensures the strong protection of sensitive data that is at high risk of having leakage issues. We attain these goals with the help of the respective encryption and optimization techniques. Our performance assessments combine system implementation with large-scale emulations and confirm the security and efficiency of our design.

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