Cryptanalysis Driven Chaotic Image Encryption And Its Applications


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Cryptanalysis-Driven Chaotic Image Encryption and Its Applications


Cryptanalysis-Driven Chaotic Image Encryption and Its Applications

Author: Heping Wen

language: en

Publisher: Scientific Research Publishing, Inc. USA

Release Date: 2022-12-27


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Chaos cryptography is an inter discipline that combines chaotic theory and cryptography, which includes chaotic secure communication system, chaotic symmetric cipher, chaotic public key cipher and chaotic hash function [1]. In this academic monograph, the main object of our discussion is symmetric chaotic cryptography. The block diagram of symmetrical encryption and communication transmission is shown as Figure 1 [2]. The encryption process is ( , ) EK =CP, in which P means plaintext while K means secret key and () E ? represents encryption function. Alice sends the ciphertext which has been encrypted to Bob, the receiving end. Bob makes use of the same secret key which is sent by a secure channel to decrypt and recover the original plaintext ( , ) DK =PC, in which ()D ? is the decryption function. For an attacker Oscar, the ciphertext C is available but the secret key for the secure channel transmission is not known.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities


Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

Author: Chakraborty, Shouvik

language: en

Publisher: IGI Global

Release Date: 2020-03-13


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Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Intelligent Fractal-Based Image Analysis


Intelligent Fractal-Based Image Analysis

Author: Soumya Ranjan Nayak

language: en

Publisher: Elsevier

Release Date: 2024-05-27


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Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. - Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems - Explores the application of fractal theories to a wide range of medical image processing modalities - Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems