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This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML;
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of future directions where cybersecurity techniques, policies, applications, and theories are headed. The book is a rich collection of carefully;
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of data mining and machine learning techniques in cybersecurity.;
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psychology, neuroscience, history, and economics. Business leaders will learn to effectively harness these techniques in their businesses as well as;
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context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world;
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sector to new risks. An accessible primer, Cybersecurity: Public Sector Threats and Responses focuses on the convergence of globalization;
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cybersecurity program Discover tools, techniques, methodologies, and activities to perform risk assessments for your ICS environment Who this book;
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TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers;
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The book is an introduction to essential concepts of cybersecurity and information security and the methods and techniques used to combat;
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Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields;
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Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was inspired by recent developments in the fields;
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This book provides a unique perspective into the mindset of psychology and cybersecurity. It presents a view of incorporating the latest;
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, Lyapunov stability techniques, dynamic optimization, and machine-learning techniques will help readers to understand the methodologies proposed;
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Cybersecurity and Privacy in Cyber-Physical Systems collects and reports on recent high-quality research that addresses different problems;
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The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly;
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cybersecurity concepts Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems Learn to speed up;
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Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key Features;
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This book provides a thorough view of cybersecurity to encourage those in the commercial vehicle industry to be fully aware and concerned;
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. These papers cover the following subjects: Artificial Intelligence for Cybersecurity, Machine Learning for Cybersecurity, and Mechanisms for;
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Understand the nitty-gritty of Cybersecurity with ease Key Features Align your security knowledge with industry leading concepts and;
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This comprehensive text/reference presents an in-depth review of the state of the art of automotive connectivity and cybersecurity with;
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analytical tools and engineering methodologies of these adversary detection techniques are provided, considering that many of them are quite general;
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Do you want to know what Critical Responsibilities a Cybersecurity Specialist have?Do you want to know what tools and techniques are used;
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, including the deep learning and natural language processing algorithms, blockchain design thinking, token economics, cybersecurity, cloud computing;
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William Stallings' Effective Cybersecurity offers a comprehensive and unified explanation of the best practices and standards that;
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provides a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations;
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