Chaotic and Paillier secure image data sharing based on blockchain and cloud security

Abstract

Internet of Things (IoT) is a materializing technology that has considerable technical, social, and economic importance. The present day predictions for the influence of IoT are highly monumental. This is because data of any form is found to be predominant to the IoT paradigm, therefore serving different applications like smart home, smart city, healthcare, smart grid, smart farms, manufacturing, and so on. Hence, several heterogeneous sensors are said in existence to estimate different types of parameters and found to be useful for different users. In this paper, a secured image sharing method called a Blockchain Chaotic and Paillier Map-based Authentication (BC-PMA) to provide image data integrity and security by deploying a cloud computing environment is proposed. The BC-PMA method is split into three sections. First, registration of corresponding classes of images in the cloud server via blockchain is presented by employing the Cat Map Registration model. The second step involves the authentication process carried out by employing Paillier Map-based Authentication where validation is ensured via smart contracts. Finally, upon successful authentication, unique and separate classes of images are provided with the respective, therefore ensuring secured classes of image sharing between users in the cloud environment. The results have been analyzed against traditional blockchain-based methods and validated with enhanced simulated results, that good authentication accuracy, minimizing the false positive rate, block generation time, and size considerably. Experimental Result shows that the Authentication Accuracy of the proposed BC-PMA method is improved by 23%, and minimizes the False Positive Rate and Computational Cost by 32% and 22% when compared to the Existing Method.