In recent years, encryption technology has been developed rapidly and many image encryption methods have been put forward. The chaos-based image encryption technique is a modern encryption system for images. To encrypt images, it uses random sequence chaos, which is an efficient way to solve the intractable problem of simple and highly protected image encryption. There are, however, some shortcomings in the technique of chaos-based image encryption, such limited accuracy issue. The approach focused on the chaotic system in this paper is to construct a dynamic IP permutation and S-Box substitution by following steps. First of all, use of a new IP table for more diffusion of all image pixels based on a 1D logistic map to build IP table. Secondly, a new S-Box based on 2D-Henon chaos was created using more confusion to replace G-channel image data. Finally, design of a modern image encryption approach. This approach uses the key process confusion and diffusion operation and depend on IP and S-Box proposals in the encryption process and several shuffling operations using the 3D- Lornez chaos theory. Theoretical research and simulation suggest that starting sensitivity value of this method is high, has high protection, and encryption speed. Moreover, it also holds the value of the neighboring RGB close to zero. The studies show that the information security capabilities would be both safer and more efficient, as a result of our image quality assessment study. Number of Differential Pixel Rate Change Attacks (NPSR), Unified Average Altered Intensity (UACI), are quality and strength of encryption processing are proved by pixel correlation, Entropy to be good results.

A novel encryption scheme was proposed based on a multi-chaotic system for secure communications.• The scheme employs a strong cipher generated from a 2D Henon map for the S-Box and a 3D Lorenz map for key generation. • The proposed encryption method demonstrates high performance, offering efficiency and robustness against attackers.Image encryption is a crucial area for researchers in information security, which protects digital images from unauthorized access. This paper proposes a novel image encryption scheme based on the multi-chaotic system. This paper is about encrypting color images based on a 2D Henon map and a 3D Lorenz map. We used the 2D Henon map equation to generate a new S-Box, thus creating a solid cipher that is difficult to break (for the confusion operation). We then generate keys from the 3D Lorenz map for the shifting process (for diffusion operation). A comparative analysis and the simulation test show that the suggested image cryptosystem has some excellent properties, including high sensitivity, fast encryption/decryption, a large keys-pace, excellent statistical properties related to the ciphertext, etc.

The recent digital revolution has resulted in robots being integrated more than ever into various domains, such as agriculture, healthcare, and the military. Robots are dedicated to serving, facilitating, and improving human life. However, the growing prevalence of robotics has brought to light the need for robust security measures. While unintentional accidents are inevitable, this paper focuses on the increasingly challenging problem of malicious cyber-attacks against robotic systems. One specific incident highlighting the severity of this issue occurred in 2022 when a healthcare robot was hacked, resulting in the misadministration of medication to several patients, leading to severe health complications and unnecessary loss of human lives. Such instances underscore the urgency of understanding the robotics domain's security vulnerabilities, threats, and consequences. In conclusion, this paper highlights the critical aspects of securing robotic systems in today's technologically advanced world. By identifying and analyzing the primary security vulnerabilities, this paper examines the primary security vulnerabilities, the type of application, then the impact of vulnerabilities; we can pave the way for effective security measures and ultimately ensure the safety and reliability of robotic systems.