Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence (eBook, PDF)

Redaktion: Maleh, Yassine; Romdhani, Imed; Tawalbeh, Loai; Alazab, Mamoun

• Format: PDF

Produktbeschreibung

This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 310
• Erscheinungstermin: 28. April 2023
• Englisch
• ISBN-13: 9781000846690
• Artikelnr.: 67621116

Autorenporträt

Yassine Maleh, Imed Romdhani

Inhaltsangabe

1 Cyber Threat Intelligence Model: An Evaluation of Taxonomies and Sharing
Platforms 2 Evaluation of Open-sourceWeb Application Firewalls for Cyber
Threat Intelligence 3 Comprehensive Survey of Location Privacy and Proposed
Effective Approach to Protecting the Privacy of LBS Users 4 Analysis of
Encrypted Network Traffic using Machine Learning Models 5 Comparative
Analysis of Android Application Dissection and Analysis Tools for
Identifying Malware Attributes 6 Classifying Android PendingIntent Security
using Machine Learning Algorithms 7 Machine Learning and Blockchain
Integration for Security Applications 8 Cyberthreat Real-time Detection
Based on an Intelligent Hybrid Network Intrusion Detection System 9
Intelligent Malware Detection and Classification using Boosted Tree
Learning Paradigm 10 Malware and Ransomware Classification, Detection, and
Prevention using Artificial Intelligence (AI) Techniques 11 Detecting
High-quality GAN-generated Face Images using Neural Networks 12 Fault
Tolerance of Network Routers using Machine Learning Techniques