A Novel Algorithm for Image Encryption Using Hybrid Chaotic Encryption with KNN Classification

Many applications are available today that let us exchange images online. Only the intended receivers should have access to all of these images, which must be stored securely. Therefore, it is crucial to provide effective and quick methods for image encryption. This study introduced a kNN classification based Hybrid Chaotic encryption algorithm with combination of Discrete Wavelet Transform(DWT) with Discrete Cosine Transform(DCT) technique successfully reduce the computation cost for encryption The well-known real-world image dataset was utilized in the tests. The experimental results show that the proposed chaotic method of NPCR values of 99.812% also demonstrates that great pixel modification effects are attainable. The experimental data demonstrates that the proposed method outperforms than the existing Henon Map method.

I. Introduction

It has become crucial to protect digital photographs from leaks in recent years due to the constant movement of digital images throughout the globe via transmission means. Many applications, such as image databases, video classification for a secure storage and transmission method that is quick, dependable, and effective. The development of strong encryption algorithms is a result of the necessity to meet the security requirements of digital images. In the last ten years, a wide range of encryption algorithms [1] based on different ideas have been proposed in the literature. Given that they offer a fine balance of speed, high security, moderate computational overheads and power, chaos-based encryption methods are among those that are deemed suitable for practical usage.