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  • Self-Evolving Digital Twin Over Wireless Networks

    Dynamic Twin Construction and Service Interaction

    Series series Computer Science (R0)
    This book focuses on the integration of self-evolving Digital Twins (DTs) with wireless networks, exploring critical methodologies for dynamic twin construction and real-time service interaction. It addresses challenges posed by wireless environments, which are paramount for maintaining high-fidelity virtual replicas of physical systems. The content provides a comprehensive outline for building ... Read more

    $179.09 USD

  • Human Digital Twin

    Exploring Connectivity and Security Issues

    Series series Computer Science (R0)
    Human digital twin (HDT) is a transformative technology poised to transform various human-centric systems. With its potential applications in personalized healthcare, HDT promises swift, precise, and efficient healthcare services through the integration of cutting-edge technologies such as artificial intelligence, data analytics, internet of things, cybersecurity as well as virtual and augmented ... Read more

    $49.99 USD

  • Market-Driven Spectrum Sharing in Cognitive Radio

    Series series Engineering (R0)
    This brief focuses on the current research on mechanism design for dynamic spectrum sharing in cognitive radio (CR) networks. Along with a review of CR architectures and characteristics, this brief presents the motivations, significances and unique challenges of implementing algorithmic mechanism design for encouraging both primary spectrum owners and secondary spectrum users to participate in ... Read more

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    Second International Symposium, EuroCybersec 2021, Nice, France, October 25–26, 2021, Revised Selected Papers

    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes the thoroughly refereed proceedings of the Second International Symposium on Computer and Information Sciences, EuroCybersec 2021, held in Nice, France, in October 2021.The 9 papers presented together with 1 invited paper were carefully reviewed and selected from 21 submissions. The papers focus on topics of security of distributed interconnected systems, software ... Read more

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  • High-Performance Modelling and Simulation for Big Data Applications

    Selected Results of the COST Action IC1406 cHiPSet

    Series Book 11400 - Lecture Notes in Computer Science
    This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project.Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and ... Read more

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  • Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

    APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTIONComprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML)Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art ... Read more

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  • Protecting and Mitigating Against Cyber Threats

    Deploying Artificial Intelligence and Machine Learning

    The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of today’s cyber threats.Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of artificial intelligence (AI) and machine learning (ML) within the domain of security ... Read more

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  • Social Media Analytics for User Behavior Modeling

    A Task Heterogeneity Perspective

    Series series Data-Enabled Engineering
    Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards.The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community.In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated ... Read more

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  • Cybersecurity in Intelligent Networking Systems

    Series series IEEE Press
    CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMSHelp protect your network system with this important reference work on cybersecurityCybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to ... Read more

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  • Big Data Analytics

    Tools and Technology for Effective Planning

    Series series Chapman & Hall/CRC Big Data Series
    The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers. ... Read more

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  • Future Network Systems and Security

    Second International Conference, FNSS 2016, Paris, France, November 23-25, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the Second International Conference on Future Network Systems and Security, FNSS 2016, held in Paris, France, in November 2016.The 12 full papers and one short paper presented were carefully reviewed and selected from 34 submissions. The papers focus on the technology, communications, systems and security aspects of relevance to the network of the ... Read more

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  • Federated Learning for IoT Applications

    Series series Intelligent Technologies and Robotics (R0)
    This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated ... Read more

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