Demystifying AI and ML for Cyber–Threat Intelligence

Inbunden, Engelska, 2025

Av Ming Yang, Sachi Nandan Mohanty, Suneeta Satpathy, Shu Hu

3 329 kr

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Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency.

Produktinformation

Utgivningsdatum2025-08-17
Mått155 x 235 x 40 mm
Vikt1 113 g
FormatInbunden
SpråkEngelska
SerieInformation Systems Engineering and Management
Antal sidor628
FörlagSpringer International Publishing AG
ISBN9783031907227

Tillhör följande kategorier

Artificiell intelligens inom Data och it
Nätverk och kommunikation inom Data och it
Databaser inom Data och it
IT-säkerhet inom Data och it

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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