Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics
Theories and Applications
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Beschreibung
This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as:
- cloud computing services;
- cyber security;
- data analytics; and,
- disruptive technologies like blockchain.
The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.
This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as:
- cloud computing services;
- cyber security;
- data analytics; and,
- disruptive technologies like blockchain.
The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.
Presents applications of machine learning and deep mining in blockchain, deepfake videos and cryptocurrency Utilises numerous illustrations and tables to help fully explain concepts addressed Covers everything from basic concepts to future areas of potential research
Autor*in
Haruna Chiroma
Themen in »Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics«
Deep learning Cybersecurity Artificial Neural Networks Internet of Things Information security Cloud computing Malware Detection Big data security Blockchain