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

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    A Hardback by Ming Yang

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      Publisher: Springer
      Publication Date: 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.

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