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Advanced machine learning, AI, and c...

Bouarara, Hadj Ahmed, (1990-)

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Advanced machine learning, AI, and cybersecurity in Web3 = theoretical knowledge and practical application /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced machine learning, AI, and cybersecurity in Web3/ Hadj Ahmed Bouarara, editor.
其他題名:	theoretical knowledge and practical application /
其他題名:	Advanced machine learning, artificial intelligence, and cybersecurity in Web3
其他作者:	Bouarara, Hadj Ahmed,
出版者:	Hershey, Pennsylvania :IGI Global, : 2024.,
面頁冊數:	1 online resource.
內容註:	Foreword -- Preface -- Acknowledgment -- Chapter 1. Deep Dive Into Convolutional Neural Networks: Exploring Models and Algorithms -- Chapter 2. Fraud Detection in the Marketplace: Applications and Techniques -- Chapter 3. Advanced Artificial Intelligence Techniques Over Opinion Mining -- Chapter 4. Cryptocurrency Prediction Mining in Web 3.0 Environment -- Chapter 5. Cybersecurity in Medical Sector: Preservation of Private Life -- Chapter 6. A Mathematical Study of Privacy Algorithms on Big Data Problems -- Chapter 7. Survey on Advanced Metaheuristic Algorithms in Cybersecurity Problems Over Web3.0 -- Chapter 8. Practical Survey Private Search Engine Over the Web 3.0: Algorithms and Pseudo-Codes -- Chapter 9. Advanced Machine Learning Techniques Over Unstructured Data in Web 3.0 -- Compilation of References -- About the Author -- Index.
標題:	Computer security. -
電子資源:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-8686-3
ISBN:	9781668486887

Advanced machine learning, AI, and cybersecurity in Web3 = theoretical knowledge and practical application /
Advanced machine learning, AI, and cybersecurity in Web3theoretical knowledge and practical application /[electronic resource] :Advanced machine learning, artificial intelligence, and cybersecurity in Web3Hadj Ahmed Bouarara, editor. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource. - Advances in web technologies and engineering (AWTE) book series. - Advances in web technologies and engineering (AWTE) book series..

Includes bibliographical references and index.

Foreword -- Preface -- Acknowledgment -- Chapter 1. Deep Dive Into Convolutional Neural Networks: Exploring Models and Algorithms -- Chapter 2. Fraud Detection in the Marketplace: Applications and Techniques -- Chapter 3. Advanced Artificial Intelligence Techniques Over Opinion Mining -- Chapter 4. Cryptocurrency Prediction Mining in Web 3.0 Environment -- Chapter 5. Cybersecurity in Medical Sector: Preservation of Private Life -- Chapter 6. A Mathematical Study of Privacy Algorithms on Big Data Problems -- Chapter 7. Survey on Advanced Metaheuristic Algorithms in Cybersecurity Problems Over Web3.0 -- Chapter 8. Practical Survey Private Search Engine Over the Web 3.0: Algorithms and Pseudo-Codes -- Chapter 9. Advanced Machine Learning Techniques Over Unstructured Data in Web 3.0 -- Compilation of References -- About the Author -- Index.

"In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy,transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection,cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians."--

Mode of access: World Wide Web.

ISBN: 9781668486887Subjects--Topical Terms:

540555
Computer security.
Subjects--Index Terms:

Artificial Intelligence.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.9.A25 / A386 2024eb

Dewey Class. No.: 005.8

Advanced machine learning, AI, and cybersecurity in Web3 = theoretical knowledge and practical application /
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505 0 $a Foreword -- Preface -- Acknowledgment -- Chapter 1. Deep Dive Into Convolutional Neural Networks: Exploring Models and Algorithms -- Chapter 2. Fraud Detection in the Marketplace: Applications and Techniques -- Chapter 3. Advanced Artificial Intelligence Techniques Over Opinion Mining -- Chapter 4. Cryptocurrency Prediction Mining in Web 3.0 Environment -- Chapter 5. Cybersecurity in Medical Sector: Preservation of Private Life -- Chapter 6. A Mathematical Study of Privacy Algorithms on Big Data Problems -- Chapter 7. Survey on Advanced Metaheuristic Algorithms in Cybersecurity Problems Over Web3.0 -- Chapter 8. Practical Survey Private Search Engine Over the Web 3.0: Algorithms and Pseudo-Codes -- Chapter 9. Advanced Machine Learning Techniques Over Unstructured Data in Web 3.0 -- Compilation of References -- About the Author -- Index.
520 3 $a "In the evolving landscape of Web3, the use of advanced machine learning, artificial intelligence, and cybersecurity transforms industries through theoretical exploration and practical application. The integration of advanced machine learning and AI techniques promises enhanced security protocols, predictive analytics, and adaptive defenses against the increasing number of cyber threats. However, these technological improvements also raise questions regarding privacy,transparency, and the ethical implications of AI-driven security measures. Advanced Machine Learning, AI, and Cybersecurity in Web3: Theoretical Knowledge and Practical Application explores theories and applications of improved technological techniques in Web 3.0. It addresses the challenges inherent to decentralization while harnessing the benefits offered by advances, thereby paving the way for a safer and more advanced digital era. Covering topics such as fraud detection,cryptocurrency, and data management, this book is a useful resource for computer engineers, financial institutions, security and IT professionals, business owners, researchers, scientists, and academicians."-- $c Provided by publisher.
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