SECURING VISUAL DATA IN IOT WITH ADAPTIVE AND SCALABLE IMAGE ENCRYPTION

Abstract

The need for safe visual data transmission and storage has grown in recent years due to the widespread use of Internet of Things (IoT) sensors in fields including healthcare, surveillance, smart homes, and industrial automation. This work presents a technique to picture encryption that is both adaptable and scalable, designed with the needs of Internet of Things (IoT) ecosystems in mind. To guarantee security and efficiency, the approach integrates lightweight cryptographic algorithms, dynamic key generation, and block-based transformation schemes. The suggested encryption technique provides fast encryption with little computing cost, making it ideal for devices with limited resources. It can also adjust to varying degrees of data sensitivity and scale to accommodate varied picture resolutions. To make things more difficult for brute-force, statistical, and differential attackers, a hybrid cryptographic method that combines chaos-based systems with traditional cyphers is a good choice. Confirming its efficacy in safeguarding sensitive picture data, experimental findings show that the suggested technique accomplishes high entropy, low correlation, and substantial visual deterioration in encrypted images. The technology provides a strong answer to the problem of protecting visual data in real-time Internet of Things applications without sacrificing compatibility with embedded and low-power devices.