Description

Book Synopsis

Security model for IoT applications IoTSeMo.- DAN Deep Neural Network-based Application Mapping for Optimized Network-on-Chip Design.- Threat Modelling in  Virtual Assistant Hub Devices.- Generate Unnoticeable Adversarial Examples on Audio Classification Models with Multi perspective Objectives.- Prior enhanced Semi supervised Federated Learning for IoT Intrusion Detection A Game Theory and Comparative Learning based Approach.- An empirical study on Insider Threats Towards Crime Prevention through Environmental Design CPTED A student case study.- Utilizing Machine Learning and Deep Learning Techniques for the Detection of Distributed Denial of Service DDoS Attacks.- Inspecting software architecture design styles to infer threat models and inform likely attacks.

Contributions Presented at The International Conference on Computing Communication Cybersecurity and AI July 34 2024 London UK

    Product form

    £189.99

    Includes FREE delivery

    RRP £199.99 – you save £10.00 (5%)

    Order before 4pm tomorrow for delivery by Wed 24 Jun 2026.

    A Paperback by Nitin Naik

    15 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Contributions Presented at The International Conference on Computing Communication Cybersecurity and AI July 34 2024 London UK by Nitin Naik

      Publisher: Springer
      Publication Date: 20/12/2024
      ISBN13: 9783031744426, 978-3031744426
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      Security model for IoT applications IoTSeMo.- DAN Deep Neural Network-based Application Mapping for Optimized Network-on-Chip Design.- Threat Modelling in  Virtual Assistant Hub Devices.- Generate Unnoticeable Adversarial Examples on Audio Classification Models with Multi perspective Objectives.- Prior enhanced Semi supervised Federated Learning for IoT Intrusion Detection A Game Theory and Comparative Learning based Approach.- An empirical study on Insider Threats Towards Crime Prevention through Environmental Design CPTED A student case study.- Utilizing Machine Learning and Deep Learning Techniques for the Detection of Distributed Denial of Service DDoS Attacks.- Inspecting software architecture design styles to infer threat models and inform likely attacks.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account