A comparison of Chaotic Key Sequence and Blockchain Hasher for the Privacy Protection of the Internet of Things Image Data

The internet of things (IoT) is a system that requires interconnected computing devices with unique identifiers which can perform data communications without human involvement. In an integrated network of computer systems, IoT devices such as smart cameras and image sensors play a critical role. In the internet of things, images generated by these sensors are constantly at risk of disclosure and privacy invasion (IoT). Because of the presence of third parties in IoT environments, traditional options for securing sensitive data fade. To prevent such malicious tampering image encryption system, while being safe and easy to implement provides a high level of protection to the shared media files. Among them a new image encryption has been derived using chaotic sequence. In this study, a comparison of hybrid image encryption algorithms of a chaotic system based Logical map is described to encrypt and decrypt IoT image data for security purposes using various quality measures.