Extended of TEA: A 256 bits block cipher algorithm for image encryption

This paper introduces an effective image encryption approach that merges a chaotic map and polynomial with a block cipher. According to this scheme, there are three levels of encryption. In the first level, pixel positions of the image are scuffled into blocks randomly based on a chaotic map. In the second level, the polynomials are constructed by taking N unused pixels from the permuted blocks as polynomial coefficients. Finally, the third level a proposed secret-key block cipher called extended of tiny encryption algorithm (ETEA) is used. The proposed ETEA algorithm increased the block size from 64-bit to 256-bit by using F-function in type three Feistel network design. The key schedule generation is very straightforward through admixture the entire major subjects in the identical manner for every round. The proposed ETEA algorithm is word-oriented, where wholly internal operations are executed on words of 32 bits. So, it is possible to efficiently implement the proposed algorithm on smart cards. The results of the experimental demonstration that the proposed encryption algorithm for all methods are efficient and have high security features through statistical analysis using histograms, correlation, entropy, randomness tests, and the avalanche effect

AL-TEA: Alternative Tea Algorithm for Healthcare Image in IoT

Millions of devices are predicted to be connected via the Internet of Things (IoT), which is a promising technology for the future. In numerous industries, interest in leveraging the Internet of Things is predicted to expand. Various IoT applications in the healthcare industry are being studied, and the potential for IoT to improve healthcare will be huge. The rise in communications is likely to result in mountains of data, posing a danger to data security. The architecture's gadgets are substantially smaller and less powerful. Due to their complexity, traditional encryption algorithms are computationally demanding, requiring a significant number of rounds for encryption, and draining the limited power of devices. A less sophisticated method, on the other hand, may jeopardise the desired result. Many encryption techniques have recently been suggested to guarantee the security of data transmission across the Internet of Things. Because it requires less memory and is simple to implement in both hardware and software, of all the algorithms, the Tiny Encryption Algorithm (TEA) seems to be the most appealing. TEA has a number of flaws, particularly when it comes to equivalent keys and matching key assaults. As a result, in this study, we present "AL-TEA: An Alternative TEA Technique for Healthcare Images in the IoT," a lightweight encryption algorithm