## 1 Introduction  
Recently, a lot of digital data has been transmitted over the Internet. This data can be in the form of semi-structured, unstructured, or structured data. In this digitally driven world, information security is of great importance. Various organizations and institutions invest a lot of money in the security of their resources, especially in protecting the privacy of employees, online transactions, and confidential information stored or transmitted in the form of video, text, audio, or image. This means that in today's era of the Internet of Things, everything is connected to the Internet, and therefore, the security of information must be ensured. Here, it is imperative to preserve the integrity, confidentiality, and availability of information system resources on all communication channels, starting from hardware, software, data, or telecommunications. There are various protection methods, such as antivirus programs, firewalls, intrusion detection systems, biometric verification processes, routing controls, and cryptographic techniques. Text encryption is a widely used technique to secure sensitive information from unauthorized access, which is usually achieved through the use of cryptography. However, when it comes to image encryption, additional techniques are required to preserve the visual content and quality of the image while ensuring its confidentiality. In this context of image encryption, both chaotic and non-chaotic methods have been used, where chaotic methods have been found to be more effective due to their ability to provide higher security, faster encryption, and better resistance to attacks. Some studies, such as [1], have incorporated chaotic systems into their image encryption algorithms with other cryptography techniques. The complexity of chaotic systems can provide a higher level of security for encrypted information, and key attributes to consider when using chaos for encryption include initial condition sensitivity, ergodicity, simplicity, and randomness. Generally, different techniques of image encryption have been introduced and used, such as Chaos-Based Encryption [1], which is a modern and innovative method for securing digital images. This technique utilizes the principles of chaos theory to scramble the original image in a way that is not only secure but also visually pleasing. Unlike traditional image encryption methods that rely on mathematical algorithms, chaos-based image encryption uses the inherent randomness and unpredictability of chaotic systems to generate a key that can be used to encrypt and decrypt the image. This means that the encrypted image is not susceptible to attacks based on the prediction or manipulation of algorithmic patterns. The use of chaos theory in image encryption has several advantages over traditional methods because they provide a high level of security due to their unpredictability and retain their visual quality, which makes them ideal for applications such as medical imaging and digital art. There are several chaotic maps that have been used to generate random sequences of numbers in chaotic systems, including the Sine map [2], Henon map [3], and logistic map [4]. The logistic map is a one-dimensional chaotic system that can be modified to create more complex confusion in two- or three-dimensional space. Transform Domain Encryption [5] is a method of securing digital images by transforming the image from the spatial domain to a different domain, such as the frequency or wavelet domain, before encryption. The goal of this technique is to utilize the unique properties of different transform domains to enhance the security of the encrypted image. Transform Domain image encryption has several advantages over traditional image encryption methods. Firstly, the transformed image often has a lower correlation between its adjacent pixels, which makes it more difficult for attackers to use statistical attacks to reverse the encryption.