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Adaptive Security and Cyber Assurance for Risk-based Decision Making
"This book explores adaptive security techniques through CyberAssurance for risk-based decision making in the context of software-based systems and discusses ways to achieve it. It identifies a discipline termed CyberAssurance, which considers the interactions of assurance-enhancing technology, system architecture, and the development life cycle. It looks at trust-enhancing technology in some detail, articulating a strategy based on three main prongs: building software that behaves securely (high-confidence design techniques), executing software in a protected environment (containment), and monitoring software execution for malicious behavior (detection). Applying these three prongs in combination in the proper architectural and life cycle contexts provides the best risk strategy methods for increasing our trust in software-based for Internet of Things (IoT), Cloud, and Edge systems"--
Cyber-Assurance for the Internet of Things
Presents an Cyber-Assurance approach to the Internet of Things (IoT) This book discusses the cyber-assurance needs of the IoT environment, highlighting key information assurance (IA) IoT issues and identifying the associated security implications. Through contributions from cyber-assurance, IA, information security and IoT industry practitioners and experts, the text covers fundamental and advanced concepts necessary to grasp current IA issues, challenges, and solutions for the IoT. The future trends in IoT infrastructures, architectures and applications are also examined. Other topics discussed include the IA protection of IoT systems and information being stored, processed or transmitted f...
Adaptive Security and Cyber Assurance for Risk-Based Decision Making
Cyber-professionals recognize that some defensive measures could exacerbate cyber-defense challenges by motivating attackers to adapt—unintentionally inspiring attackers to develop more potent and resilient capabilities. Further study in this area is required to ensure defense and security practices are up to date. Adaptive Security and Cyber Assurance for Risk-Based Decision Making explores decision making in the context of software-based systems and discusses why it is difficult to achieve. It also identifies a discipline termed cyber-assurance, which considers the interactions of assurance-enhancing technology, system architecture, and the development life cycle. Covering key topics such as cyber assurance, security, and defensive operations, this premier reference source is ideal for industry professionals, computer scientists, academicians, engineers, researchers, scholars, practitioners, librarians, instructors, and students.
Mike Tyson
Mike Tyson, full name Michael Gerald Tyson, alias Iron Mike, was a heavyweight champion at the age of 20. He was born on June 30, 1966, in Brooklyn, New York. Tyson was sent to a reform school in upstate New York in 1978 after becoming a member of many street gangs at a young age.
Cloud To Edgeware: Wireless Grid Applications, Architecture And Security For The "Internet Of Things"
This comprehensive book presents a new approach to dynamic distributed virtual systems. Wireless grids edgeware promises new cloud to edge secure architectures with mobile security for the Internet of Things (IoT). The scope covers framworks and models for wireless grids edgeware, as well as open specifications and new applications called gridlets and wiglets.The book also highlights fundamental to advanced concepts necessary to grasp wireless grids, edgeware and IoT current issues, challenges and solutions as well as future trends in IoT infrastructures. It also serves as a virtual and effective bridge between academic research on theory, and science-practitioners work with wireless grids, edgeware and IoT technology.This unique compendium is composed for researchers, professionals and students working in the field of innovation management, wireless technologies, information system theory, systems engineering, security system designers, and mobile cloud service developers. University professors and researchers involved in wireless grids, edgeware and IoT related networking may find the book useful for their undergraduate and especially graduate courses.
Concepts and Techniques of Graph Neural Networks
Recent advancements in graph neural networks have expanded their capacities and expressive power. Furthermore, practical applications have begun to emerge in a variety of fields including recommendation systems, fake news detection, traffic prediction, molecular structure in chemistry, antibacterial discovery physics simulations, and more. As a result, a boom of research at the juncture of graph theory and deep learning has revolutionized many areas of research. However, while graph neural networks have drawn a lot of attention, they still face many challenges when it comes to applying them to other domains, from a conceptual understanding of methodologies to scalability and interpretability...
The Software Principles of Design for Data Modeling
The Software Principles of Design for Data Modeling, written by Debabrata Samanta of Rochester Institute of Technology in Kosovo, offers a practical and comprehensive solution to the challenges of designing effective software architecture for data modeling. This book covers key topics such as gathering requirements, modeling requirements with use cases, testing the system, building entity-relationship models, building class models in UML with patterns of data modeling and software quality attributes, and use case modeling. It also includes case studies of relational and object-relational database schema design. The unique approach of this book lies in its unifying method for designing softwa...
Neuromorphic Computing Systems for Industry 4.0
As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today’s companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.
Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries
Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across I...
Principles, Policies, and Applications of Kotlin Programming
Kotlin programming has been recognized as the main language for deploying Android projects, so this language has tremendous potential. In order to understand the main principles and best applications of Kotlin programming, further research is needed. Principles, Policies, and Applications of Kotlin Programming provides complete knowledge of Kotlin programming. It presents the latest technology of Vert.X, Restful API programming application by Kotlin, as well as authentication techniques for Restful APIs, which are new and important content in backend deployment for software. Covering topics such as array processing, graphic user interface, and string processing, this premier reference source is a valuable resource for software developers, programmers, students and educators of higher education, researchers, and academicians.
