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Springer Security and Risk Analysis for Intelligent Edge Computing

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Description

Security and Risk Analysis for Intelligent Edge Computing is the 103rd volume in Springer's Advances in Information Security series, providing comprehensive coverage of security threats and risk management strategies specific to edge computing environments. This scholarly resource examines how intelligent systems deployed at network edges face unique vulnerabilities and operational challenges that differ from traditional cloud-based architectures. The book combines theoretical foundations with practical risk assessment methodologies, helping researchers, professionals and students understand critical security considerations when deploying machine learning and AI applications at the edge. Ideal for those working in computer science, artificial intelligence and network security, this volume addresses the growing need for robust security frameworks as edge computing becomes increasingly prevalent across industries ranging from IoT to autonomous systems.

Key Features

Volume 103 in Springer's established Advances in Information Security series, ensuring peer-reviewed academic quality and relevance to current security research.

Focuses specifically on edge computing security challenges that differ from traditional cloud infrastructure and centralised systems.

Addresses risk analysis methodologies tailored to intelligent systems and AI applications deployed at network edges.

Comprehensive coverage of security threats and mitigation strategies essential for modern distributed computing architectures.

Suitable for academic researchers, computer science professionals and graduate students studying AI security and edge computing.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 June 2024
Listed Since
28 June 2024

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