Watermarking-Based Enhanced Data Security Among Shadow Users in Cloud Computing Using ESRCC and OMESD-LWT

Abstract

For the distribution of computing services via servers, databases, data storage, and networking over the Internet, Cloud Computing (CC) is significant. Therefore, for protecting the data from security threats, data security is required for the cloud network. Yet, enhancing the data security of CC among shadow users has not been concentrated on by any work. Hence, in this article, data security is improved by preserving data from the shadow users utilizing Exponential Square Root Curve Cryptography (ESRCC) and Odd Mean Even Standard Deviation-Lifting Wavelet Transform (OMESD-LWT) techniques. Primarily, the Data Owner (DO) registers and logs into the system. Thereafter, by utilizing ESRCC, Linear Permutation-Skein Hashing Algorithm (LP-SHA), and Mid Square-based Merkle Tree (MS-MT), the data is securely shared on the InterPlanetary File System (IPFS). Afterward, the user logs in and selects the required file for retrieving it. Then, to forward requests to IPFS, the key and digital signatures are generated. Meanwhile, the DO enhances security by ciphering the MAC address utilizing Fishers Yates Transposition Cipher (FYTC) and sending it to IPFS. Then, from the IPFS, the data is decrypted utilizing ESRCC and watermarked the Media Access Control (MAC) address by employing the OMESD-LWT method. Subsequently, the user verifies the key and MAC address to download the data. The data will be accessible to the user if it is verified; otherwise, the IPFS denies the user's request. When compared with the conventional approaches, the proposed technique has enhanced performance. The proposed mechanism enhanced the Security Level (SL) to 98.92%. Also, the proposed system encrypts and decrypts the data within 1032ms and 1273ms, respectively.