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Gesamtkatalog

Catalogue complet

Rodrigues P: AI and the Art of War

AI and the Art of War

Artificial Intelligence's Role in National Defense and Security

Green Federated Learning for Sustainable Smart Computing

Practical Bioinformatics

Advances in Industrial and Systems Engineering

Advances in Human-AI Collaboration

Machine Learning For Dummies

Data-Driven Modeling

Artificial Intelligence and Machine Learning in Data Science and Analytics

Energy Efficient Internet of Things-Based Wireless Sensor Network

Building a Program for Strategy and Oversight

Practical AI Governance

Valuable insights and strategies for mitigating risks associated with space systems, reviewing satellite cybersecurity, regulatory frameworks, and incident response protocols Cyber Security for Space Missions: Mitigating Risks in the New Space Era examines the multifaceted landscape of space exploration, defense, and security, encompassing both traditional and emerging challenges such as space debris, cyber threats, and the implications of cutting-edge technologies. The book underscores the vital importance of fostering a culture of cooperation and security in space exploration, emphasizing the need for collaborative strategies that address both current and future challenges. It provides the reader with insights on the application of cybersecurity principles to this domain which has unique constraints. The book begins with an introduction to the domain in the first few chapters, then moves on to address technical cybersecurity principles and architectural considerations as well as other non-technical matters relevant to the field. Each chapter features nuanced case studies, exercises, and collaborative discussions. Readers will find insights on key differences between terrestrial and space cybersecurity including environmental challenges and threat landscapes, communication latency and network architecture, and system complexity and interconnectivity, along with an overview of cybersecurity testing and evaluation methodologies. Additional topics explored in Cyber Security for Space Missions include: <ul> <li>Past cybersecurity breaches, the impact of satellite hacking incidents, and successful mitigation of space-based attacks in the past</li> <li>Commercial space activities and their unique cybersecurity challenges</li> <li>Regulatory frameworks and compliance requirements from organizations such as NASA, ESA, and ITAR</li> <li>Quantum cryptography, blockchain-based security, and enhanced satellite security protocols</li> <li>Components of space systems including ground stations and communication links</li> </ul> Cyber Security for Space Missions serves as a comprehensive and up-to-date reference on the subject for space mission directors, spacecraft systems engineers, cybersecurity specialists, space systems architects, payload engineers, and ground station operators.

Mitigating Risks in the New Space Era

Cyber Security for Space Missions

Multi-Agent Control Systems

Artificial Intelligence for Smart Internet of Things Applications

Quantum Machine Learning

Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource capturing the challenges and mitigation strategies involved in designing such systems. Divided into nine sections, the book covers the most important applications of safety-critical systems, helping readers understand how related problems are being solved in different domains/problem settings. The goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety. The authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models.

A Comprehensive Guide

Artificial Intelligence and Machine Learning for Safety-Critical Systems

AI and the Art of War

Weitere Titel zum Thema