ISBN: 9798337329222 - ai-driven cybersecurity for autonomous systems (12 resultados)

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Hardcover. Condición: new. Hardcover. AI-driven cybersecurity for autonomous systems protects intelligent, automated technologies from cyber threats, such as autonomous vehicles, drones, and industrial robots. As these systems become integrated into infrastructure, their reliance on real-time data processing, machine learning, and network connectivity makes them vulnerable to attacks. AI-driven cybersecurity offers proactive defense mechanisms by using algorithms that can detect anomalies, predict threats, and respond to intrusions faster than traditional methods. This approach enhances the resilience and safety of autonomous systems while ensuring their reliability in high-stakes environments. AI-Driven Cybersecurity for Autonomous Systems explores the intersection of cybersecurity, AI, and robotics, addressing technological advancements, ethical dilemmas, and risk mitigation strategies. It examines theoretical frameworks, practical applications, and policy implications, with a focus on securing AI-driven robotic systems in critical sectors like healthcare, defense, and smart cities. This book covers topics such as risk mitigation, robotics, and threat detection, and is a useful resource for security professionals, computer engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condición: Neu. AI-Driven Cybersecurity for Autonomous Systems | Toufik Mzili (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337329222 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI-driven cybersecurity for autonomous systems protects intelligent, automated technologies from cyber threats, such as autonomous vehicles, drones, and industrial robots. As these systems become integrated into infrastructure, their reliance on real-time data processing, machine learning, and network connectivity makes them vulnerable to attacks. AI-driven cybersecurity offers proactive defense mechanisms by using algorithms that can detect anomalies, predict threats, and respond to intrusions faster than traditional methods. This approach enhances the resilience and safety of autonomous systems while ensuring their reliability in high-stakes environments. AI-Driven Cybersecurity for Autonomous Systems explores the intersection of cybersecurity, AI, and robotics, addressing technological advancements, ethical dilemmas, and risk mitigation strategies. It examines theoretical frameworks, practical applications, and policy implications, with a focus on securing AI-driven robotic systems in critical sectors like healthcare, defense, and smart cities. This book covers topics such as risk mitigation, robotics, and threat detection, and is a useful resource for security professionals, computer engineers, academicians, researchers, and data scientists.…