Buch, Englisch, Band 249, Format (B × H): 155 mm x 235 mm
AI-Powered and Human-Centric Optimized Strategies for Protecting Cyber Ecosystems
Buch, Englisch, Band 249, Format (B × H): 155 mm x 235 mm
Reihe: Springer Optimization and Its Applications
ISBN: 978-3-032-45640-3
Verlag: Springer International Publishing
This book provides a comprehensive exploration of digital sovereignty, addressing its intersection with autonomy, privacy, security, and trust within complex digital infrastructures. By examining topics such as data governance in cloud technologies, the role of foreign tech giants, and the management of critical systems like healthcare, energy, and transportation, it tackles urgent challenges surrounding control, transparency, and accountability in an increasingly digital world.
Join experts from industry, academia, and the public sector as they explore the multifaceted aspects of digital sovereignty and its implications for infrastructure, governance, and innovation. The chapters cover secure data spaces, autonomous cloud services, distributed identity systems, and interoperable digital infrastructures, particularly in the public sector.
This timely volume offers cutting-edge insights from interdisciplinary fields, including AI, IoT, cybersecurity, governance, and geopolitics. It is essential for scholars, policymakers, and technologists seeking to navigate the complexities of digital trust, ethical autonomy, and societal resilience in the digital age. As digital infrastructure and data become central to societal function, the question of who controls them has never been more critical.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Hybrid Retrieval-Augmented and Parameter-Efficient Learning Framework for Explainable Cyber Resilience Assessment.- Behavioral Analytics for Social Risk Detection Using the Human Interaction Index: A Machine Learning Framework for Human-Centric Digital Wellbeing.- Explainable and Privacy-Preserving AI-Based Insider Threat Detection Using Behavioral Analytics and Federated Learning.- ML-Driven Network Intrusion Detection with AES-Encrypted Log Storage.- Optimized Reinforcement Learning Framework for Federated Learning.- Hidden in Plain Sight: Exploiting Semantic Attributes for Stealthy Backdoors in Federated Learning.- Federated Edge Intelligence for Secure Vehicular Networks: A Taxonomy, Unified Framework and Open Challenges.- NestedSwin: Dynamic Nested Swin Transformers for Continual Learning in Medical Image Classification.- An Edge-Intelligent Gateway for Anomaly Detection in Industrial IoT.- Post-Quantum Secure Edge Digital Twin Framework for ESP32-CAM Traffic Violation Evidence Transmission Using PQC and Cryptographic Algorithms.- Kubernetes Network Optimization: A High-Performance Inter-Pod Communication.- Decentralised Storage Pooling: A Distributed Architecture for Fault-Tolerant and Secure Collaborative Storage Systems.- Military Vehicle Detection Using YOLO11 with ConvNeXt Backbone and CBAM Attention Mechanism.- Operational Risk Assessment for Q-Commerce Delivery Riders under Urban Traffic Conditions: A Bayesian Network Approach.- Flash Flood Exposure and Localized Driving Control in Immersive VR: Evidence from Approach Speed, Braking, and Hazard-Zone Interaction.
