A Novel Approach to Enhance Image Security using Hyperchaos with Elliptic Curve Cryptography

M. Ganavi, S. Prabhudeva
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Abstract

Information security dominate the world. All the time we connect to the internet for social media, banking, and online shopping through various applications. Our priceless data may be hacked by attackers. There is a necessity for a better encryption method to enhance information security. The distinctive features of Elliptic Curve Cryptography (ECC) in particular the key atomity, speedy ciphering and preserving bandwidth captivating its use in multimedia encipher. An encryption method is proposed by incorporating ECC, Secure Hash Algorithm – 256 (SHA-256), Arnold transform, and hyperchaos. Randomly generated salt values are concatenated with each pixel of an image. SHA-256 hash is imposed which produces a hash value of 32-bit, later used to generate the key in ECC. Stronger ciphering is done by applying Arnold’s transformation and hyperchaos thereby achieved more randomness in image. Simulation outcomes and analysis show that the proposed approach provides more confidentiality for color images.
一种利用椭圆曲线加密的超混沌增强图像安全性的新方法
信息安全主宰世界。我们一直在通过各种应用程序连接到互联网,用于社交媒体、银行和网上购物。我们无价的数据可能被攻击者窃取。有必要采用更好的加密方法来加强信息安全。椭圆曲线加密(ECC)以其密钥原子性、快速加密和保持带宽等特点吸引着它在多媒体加密中的应用。提出了一种结合ECC、SHA-256安全哈希算法、Arnold变换和超混沌的加密方法。随机生成的盐值与图像的每个像素相连接。SHA-256哈希被强加,它产生32位的哈希值,后来用于生成ECC中的密钥。利用阿诺德变换和超混沌实现了更强的加密,从而使图像具有更大的随机性。仿真结果和分析表明,该方法为彩色图像提供了更高的保密性。
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