CyberSentinel+
portes grátis
CyberSentinel+
An Advanced Hybrid Honeypot Intrusion Detection System Augmented with Big Data Analytics and Machine Learning Intelligence
Mudgal, Akshay
Taylor & Francis Ltd
04/2026
300
Dura
Inglês
9781041115168
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
About the Author. Author's Vision. Foreword. 1. Introduction to Cybersecurity in the Big Data Era. 2. Foundations of Intrusion Detection Systems (IDS). 3. Honeypot Systems: Deception for Defense. 4. Big Data Technologies for Security Analytics. 5. Machine Learning for Intrusion Detection. 6. Building the Hybrid Honeypot-Based ML-Driven IDS Architecture. 7. Dataset Collection, Preprocessing & Labeling. 8. Model Design, Training & Evaluation. 9. Deployment of the Hybrid System in Real-World Environments Depiction. 10. Case Studies, Simulated Attacks, Results and Analysis. 11. Ethical, Legal & Privacy Concerns. 12. Future Trends and Research Directions.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
cloud computing security;IoT device protection;adversarial machine learning;digital identity management;regulatory compliance cybersecurity;AI-driven threat detection;advanced cyberattack prevention strategies
About the Author. Author's Vision. Foreword. 1. Introduction to Cybersecurity in the Big Data Era. 2. Foundations of Intrusion Detection Systems (IDS). 3. Honeypot Systems: Deception for Defense. 4. Big Data Technologies for Security Analytics. 5. Machine Learning for Intrusion Detection. 6. Building the Hybrid Honeypot-Based ML-Driven IDS Architecture. 7. Dataset Collection, Preprocessing & Labeling. 8. Model Design, Training & Evaluation. 9. Deployment of the Hybrid System in Real-World Environments Depiction. 10. Case Studies, Simulated Attacks, Results and Analysis. 11. Ethical, Legal & Privacy Concerns. 12. Future Trends and Research Directions.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
