AI-Based Metaheuristics for Information Security and Digital Media

This book explores the latest AI-based metaheuristics algorithms for information security in digital media, emphasizing security parameters, analysis, and validations across various applications. It combines multidisciplinary research and provides illustrations and exercises.

Format: Hardback
Length: 136 pages
Publication date: 06 July 2023
Publisher: Taylor & Francis Ltd

This comprehensive book delves into the latest advancements in Artificial Intelligence (AI)-based metaheuristics algorithms, focusing on their applications in information security for digital media. It underscores the significance of various security parameters, their comprehensive analysis, and rigorous validations across diverse practical domains. By drawing upon a multidisciplinary foundation encompassing computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, this text aims to significantly enhance the security of our society. Throughout, it features state-of-the-art research accompanied by illustrative examples and engaging exercises, making it an invaluable resource for both scholars and practitioners in the field.
This book explores the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms, with a specific focus on their applications in information security for digital media. It emphasizes the importance of several security parameters and their thorough analysis and validation across a wide range of practical domains. By drawing upon a multidisciplinary framework that includes computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, this text aims to significantly enhance the security of our society. Throughout, it features state-of-the-art research accompanied by illustrative examples and engaging exercises, making it an invaluable resource for both scholars and practitioners in the field.

The book begins by introducing the fundamental concepts and principles of metaheuristics algorithms, providing a comprehensive overview of their theoretical foundations and practical applications. It then delves into the specific area of information security for digital media, highlighting the challenges and threats faced by this domain. The book discusses the importance of security parameters and their analysis, emphasizing the need for rigorous validation to ensure the effectiveness of security solutions.

Chapter 1 provides an introduction to metaheuristics algorithms and their applications in optimization problems. It discusses the basic principles of these algorithms, including their search strategies, evaluation functions, and convergence properties. The chapter also introduces some commonly used metaheuristics algorithms, such as simulated annealing, genetic algorithms, and ant colony optimization.

Chapter 2 focuses on the analysis of security parameters in information security for digital media. It discusses the importance of considering various factors, such as authentication, authorization, and encryption, in designing secure systems. The chapter also explores the challenges associated with parameter analysis, such as the complexity of the problem, the uncertainty of the environment, and the limitations of existing methods.

Chapter 3 presents a comprehensive review of existing methods for parameter analysis in information security for digital media. It discusses the strengths and weaknesses of each method, as well as their limitations and potential applications. The chapter also highlights the need for interdisciplinary research to address the complex challenges of parameter analysis.

Chapter 4 explores the validation of security parameters in information security for digital media. It discusses the importance of conducting rigorous testing and evaluation to ensure the effectiveness of security solutions. The chapter also introduces some common validation methods, such as attack simulations, performance evaluations, and user acceptance tests.

Chapter 5 discusses the application of metaheuristics algorithms in information security for digital media. It highlights the benefits of these algorithms in solving complex optimization problems, such as resource allocation, intrusion detection, and anomaly detection. The chapter also discusses the challenges associated with applying metaheuristics in real-world scenarios, such as the complexity of the problem, the uncertainty of the environment, and the limitations of existing data.

Chapter 6 concludes the book explores the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms, with a specific focus on their applications in information security for digital media. It emphasizes the importance of various security parameters and their thorough analysis and validation across a wide range of practical domains. By drawing upon

This book explores the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms, with a specific focus on their applications in information security for digital media. It emphasizes the importance of various security parameters and their thorough analysis and validation across a wide range of practical domains. By drawing upon a multidisciplinary framework that includes computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, this text aims to significantly enhance the security of our society. Throughout, it features state-of-the-art research accompanied by illustrative examples and engaging exercises, making it an invaluable resource for both scholars and practitioners in the field.

The book begins by introducing the fundamental concepts and principles of metaheuristics algorithms, providing a comprehensive overview of their theoretical foundations and practical applications. It then delves into the specific area of information security for digital media, highlighting the challenges and threats faced by this domain. The book discusses the importance of security parameters and their analysis, emphasizing the need for rigorous validation to ensure the effectiveness of security solutions.

Chapter 1 provides an introduction to metaheuristics algorithms and their applications in optimization problems. It discusses the basic principles of these algorithms, including their search strategies, evaluation functions, and convergence properties. The chapter also introduces some commonly used metaheuristics algorithms, such as simulated annealing, genetic algorithms, and ant colony optimization.

Chapter 2 focuses on the analysis of security parameters in information security for digital media. It discusses the importance of considering various factors, such as authentication, authorization, and encryption, in designing secure systems. The chapter also explores the challenges associated with parameter analysis, such as the complexity of the problem, the uncertainty of the environment, and the limitations of existing methods.

Chapter 3 presents a comprehensive review of existing methods for parameter analysis in information security for digital media. It discusses the strengths and weaknesses of each method, as well as their limitations and potential applications. The chapter also highlights the need for interdisciplinary research to address the complex challenges of parameter analysis.

Chapter 4 explores the validation of security parameters in information security for digital media. It discusses the importance of conducting rigorous testing and evaluation to ensure the effectiveness of security solutions. The chapter also introduces some common validation methods, such as attack simulations, performance evaluations, and user acceptance tests.

Chapter 5 discusses the application of metaheuristics algorithms in information security for digital media. It highlights the benefits of these algorithms in solving complex optimization problems, such as resource allocation, intrusion detection, and anomaly detection. The chapter also discusses the challenges associated with applying metaheuristics in real-world scenarios, such as the complexity of the problem, the uncertainty of the environment, and the limitations of existing data.

Chapter 6 concludes the book explores the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms, with a specific focus on their applications in information security for digital media. It emphasizes the importance of various security parameters and their thorough analysis and validation across a wide range of practical domains. By drawing upon a multidisciplinary framework that includes computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, this text aims to significantly enhance the security of our society. Throughout, it features state-of-the-art research accompanied by illustrative examples and engaging exercises, making it an invaluable resource for both scholars and practitioners in the field.

Weight: 344g
Dimension: 162 x 242 x 15 (mm)
ISBN-13: 9780367615420