A New Approach to Design KM1 Encryption Algorithm for Alarm in IoT

The research introduces a hybrid encryption system for parallel computing environments, focusing on safeguarding IoT image data for fire incident detection and response. The system uses a six-dimensional chaotic system to generate secure encryption keys, integrated into the RC6 encryption framework. Additionally, the study introduces eight new S-boxes and eight P-layers derived from the initial chaotic state parameters. The encryption process consists of eight rounds of RC6 encryption, incorporating these S-boxes and P-layers to produce a securely encrypted text suitable for protecting sensitive data. The primary objective of this system is to establish a secure channel for transmitting fire incident images to designated personnel via the Telegram platform, ultimately reducing response times and enhancing situational awareness. The parallel processing environment enhances image encoding speed, enabling real-time transmission during fire incidents. The system achieves a Peak Signal-to-Noise Ratio (PSNR) of 7.748 decibels, an Average Unified Change Intensity (UACI) of 33.4842, and a Number of Pixel Change Rate (NPCR) of 99.6082. The encryption speed for the Baboon image registers at 11.558 s, representing an approximate improvement of 1155.8% in performance. These elevated levels of security and computational efficiency underscore the potential applicability of the proposed algorithm in real-world scenarios, where secure encryption of diverse data types is of paramount importance.