Description

Book Synopsis

A Comprehensive Review on the Detection Capabilities of IDS using Deep Learning Techniques.- Next-Generation Intrusion Detection Framework with Active Learning-Driven Neural Networks for DDoS Defense.- Ensemble Learning-based Intrusion Detection System for RPL-based IoT Networks.- Advancing Detection of Man-in-the-Middle Attacks through Possibilistic C-Means Clustering.- CNN-Based IDS for Internet of Vehicles Using Transfer Learning.- Real-Time Network Intrusion Detection System using Machine Learning.- OpIDS-DL : OPTIMIZING INTRUSION DETECTION IN IoT NETWORKS: A DEEP LEARNING APPROACH WITH REGULARIZATION AND DROPOUT FOR ENHANCED CYBERSECURITY.- ML-Powered Sensitive Data Loss Prevention Firewall for Generative AI Applications.- Enhancing Data Integrity: Unveiling the Potential of Reversible Logic for Error Detection and Correction.- Enhancing Cyber security through Reversible Logic.- Beyond Passwords: Enhancing Security with Continuous Behavioral Biometrics and Passive Authentication.

Demystifying AI and ML for CyberThreat Intelligence

    Product form

    £170.99

    Includes FREE delivery

    RRP £179.99 – you save £9.00 (5%)

    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Hardback by Ming Yang

    15 in stock


      View other formats and editions of Demystifying AI and ML for CyberThreat Intelligence by Ming Yang

      Publisher: Springer
      Publication Date: 01/07/2025
      ISBN13: 9783031907227, 978-3031907227
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      A Comprehensive Review on the Detection Capabilities of IDS using Deep Learning Techniques.- Next-Generation Intrusion Detection Framework with Active Learning-Driven Neural Networks for DDoS Defense.- Ensemble Learning-based Intrusion Detection System for RPL-based IoT Networks.- Advancing Detection of Man-in-the-Middle Attacks through Possibilistic C-Means Clustering.- CNN-Based IDS for Internet of Vehicles Using Transfer Learning.- Real-Time Network Intrusion Detection System using Machine Learning.- OpIDS-DL : OPTIMIZING INTRUSION DETECTION IN IoT NETWORKS: A DEEP LEARNING APPROACH WITH REGULARIZATION AND DROPOUT FOR ENHANCED CYBERSECURITY.- ML-Powered Sensitive Data Loss Prevention Firewall for Generative AI Applications.- Enhancing Data Integrity: Unveiling the Potential of Reversible Logic for Error Detection and Correction.- Enhancing Cyber security through Reversible Logic.- Beyond Passwords: Enhancing Security with Continuous Behavioral Biometrics and Passive Authentication.

      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