<p>Most recently, image encryption has gained popularity as a subject for exploration. The development of secure image encryption methods has been made easier and more effective by chaos-based cryptographic algorithms. Images are protected by image encryption techniques that disrupt the pixel pattern. A novel image encryption technique that is fast and secure has been proposed based on the chaotic tent map and the Lorenz chaotic function in this research. Systems for image encryption based on shuffling and then diffusion showed some improved performances. The chaos-based key stream is first created using the tent chaotic map, which performs better in the context of randomization characteristics and level of security. By using the created chaotic key stream, the input image is permuted. Due to some patterns present in permuted images that are vulnerable to statistical attack, permutation alone is insufficient to securely encrypt images; hence an additional diffusion procedure is used. The chaotic key stream produced using the Lorenz chaotic system is utilized for diffusion. The suggested algorithm has the advantage of being highly secure and resistant to various types of intrusion assaults. In order to assess the algorithm’s ability to withstand different types of attacks, a series of tests are conducted. These tests include statistical analyses such as histogram, correlation, and information entropy analysis, as well as differential attack analysis which involves NPCR and UACI analysis. Additionally, robustness analysis is performed to evaluate the algorithm’s resistance to noise and occlusion assaults. The cipher images generated are resistant to the aforementioned threats and produce cipher images that are both secure and resistant. Furthermore, the algorithm’s key space is rigorously computed, ensuring that it is sufficiently vast to effectively withstand brute force attacks. This serves as a testament to its durability and resilience.</p>