Machine Learning for Computer and Cyber Security

Machine Learning for Computer and Cyber Security

Principle, Algorithms, and Practices

Gupta, Brij B.; Sheng, Quan Z.

Taylor & Francis Ltd

02/2019

352

Dura

Inglês

9781138587304

15 a 20 dias

740

Descrição não disponível.
Introduction. Classical Machine-Learning Paradigms for Data Mining. Supervised Learning for Misuse/Signature Detection. Machine Learning for Anomaly Detection. Machine Learning for Hybrid Detection. Machine Learning for Scan Detection. Machine Learning for Profiling Network Traffic. Privacy-Preserving Data Mining. Emerging Challenges in Cybersecurity.
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Roc Curve;Multi-class Classification;AODV Routing Protocol;Phishing Detection;Sensitive Information;Phishing E-mails;Phishing Attacks;AODV Routing;Random Forest;XSS Attack;Malicious URL;Black Hole Attack;Malicious Nodes;IP Table;Malicious Applications;API Level;Linked List;Bitcoin Network;Bitcoin Exchanges;Deep Learning Architectures;GSA;GWO;Board Interlock;Bitcoin Wallet;Metaheuristic Algorithms