AN IMAGE ENCRYPTION METHOD BASED ON LOGISTICAL CHAOTIC MAPS TO ENCRYPT COMMUNICATION DATA

Abstract

Encryption is crucial because of how integral to daily life things like smartphones, computers, and the internet have become. It's almost inconceivable to think about getting by without it. Everything from paying bills and buying goods to email and social networking is done online nowadays. Participating in measures that can prevent illegal access to our accounts, data, and devices is more crucial than ever. In this study, we combined a 256-by-256-pixel cover picture with a 128-by-128-pixel inner image using the logistic map (the chaotic function), where both images were in the PNG format. where the encrypted image is converted to a grayscale image and then encrypted through the logistic function. the output of this process is chaotic data that has been converted into binary data to be encrypted again through the colors of the cover image (red, green and blue) each separately and measuring the standard factors to know the strength of the system. The bit error rate was calculated after measuring the signal-to-noise ratio (SNR), system similarity(SSIM), and Peak Signal to Noise Ratio(PSNR) for these three hues. Using the logistic map, all three colors were found to be equally secure during encryption in the chaotic signal and due to unpredictability.

Keywords

• encryption
• image
• binary vector
• chaotic signal
• logistic map