CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. Cybersecurity in Intelligent Networking Systems provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. Cybersecurity in Intelligent Networking Systems readers will also find: Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption Key areas in adversarial machine learning, from both offense and defense perspectives Descriptions of network anomalies and cyber threats Background information on data-driven network intelligence for cybersecurity Robust and secure edge intelligence for network anomaly detection against cyber intrusions Detailed descriptions of the design of privacy-preserving security protocols Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.
This book aims to discuss the cutting-edge materials and technologies for zinc-air batteries. From the perspective of basic research and engineering application, the principle innovation, research progress, and technical breakthrough of key materials such as positive and negative electrodes, electrolytes, and separators of zinc-air batteries are discussed systematically, which can be used to guide and promote the development of zinc-air battery technology. We do believe that our experiences and in-depth discussions would make this book useful for researchers at all levels in the energy area and provide them with a quick way of understanding the development of zinc-air batteries.
CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. Cybersecurity in Intelligent Networking Systems provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. Cybersecurity in Intelligent Networking Systems readers will also find: Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption Key areas in adversarial machine learning, from both offense and defense perspectives Descriptions of network anomalies and cyber threats Background information on data-driven network intelligence for cybersecurity Robust and secure edge intelligence for network anomaly detection against cyber intrusions Detailed descriptions of the design of privacy-preserving security protocols Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.
This book aims to discuss the cutting-edge materials and technologies for zinc-air batteries. From the perspective of basic research and engineering application, the principle innovation, research progress, and technical breakthrough of key materials such as positive and negative electrodes, electrolytes, and separators of zinc-air batteries are discussed systematically, which can be used to guide and promote the development of zinc-air battery technology. We do believe that our experiences and in-depth discussions would make this book useful for researchers at all levels in the energy area and provide them with a quick way of understanding the development of zinc-air batteries.
This book comprehensively discusses the basic principles and working mechanism of all kind of batteries towards clean energy storage devices. In addition, it focuses on the synthesis of various electrode materials with 1D architecture via electrospinning technique. This book will give a clear idea about recent synthetic strategy towards nanofibers and nanocomposites for alkali-ion storage applications. The reader could understand the formation mechanism of nanofibers and their potential application in the future energy storage system.
This book comprehensively discusses the basic principles and working mechanism of all kind of batteries towards clean energy storage devices. In addition, it focuses on the synthesis of various electrode materials with 1D architecture via electrospinning technique. This book will give a clear idea about recent synthetic strategy towards nanofibers and nanocomposites for alkali-ion storage applications. The reader could understand the formation mechanism of nanofibers and their potential application in the future energy storage system.
Genetic Breeding and Molecular Marker-Assisted Selective Breeding of Largemouth Bass provides evidenced-based research that summarizes the theory and practice of genetic breeding. It provides a theoretical basis and technical support for the genetic improvement of largemouth bass varieties, but is also a good reference on the genetic breeding of other farmed fish. As knowledge of systematic studies, including germplasm resources, biology, quantitative genetics, selection breeding, variety hybridization and molecular marker assisted breeding is needed to increase growth performance, this book provides comprehensive information that is suitable for aquatic genetic breeding researchers and undergraduate and graduate students in aquatic genetics and breeding. Presents research on the collection, conservation and evaluation of domestic and abroad germplasm resources, basic biology and genetics, and different types of breeding Provides both theory and practical application to enhance the growth and development of new species of fish Includes methods to analyze data results and better predict research outcomes
This book provides a systematic and comprehensive introduction to the fundamentals of hydrogen energy, hydrogen energy-related technologies and systems, and the environmental and economic impacts of hydrogen energy. This book is rich in content, combining theory with practice and reflecting the latest world achievements in hydrogen energy utilization and research. It is used by a wide range of scientific and technologists engaged in the development and utilization of hydrogen energy and other energy sources. It is also referenced for technical workers in power engineering, aerospace, chemistry, chemical engineering, refrigeration, metallurgy, and those engaged in safety management, as well as for teachers and students of related disciplines in higher education institutions. Furthermore, this book makes some modest contribution to the development of hydrogen energy by strengthening the hydrogen energy research teams.
The old driver drove! Everyone, stand firm! "Let's not talk about the introductions. There are fantasy novels and even the city has them!" No ... no ... violence! High-energy warning from the front, what he was playing at was a routine. It referred to humanity! When you think you've guessed the end, it's really just the beginning of the story! There's not much to talk about, driving. [Close]
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.