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Full Description
Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security.
Features:
Role of Deep Learning and Machine Learning in the Field of Cyber Security
Using ML to defend against cyber-attacks
Using DL to defend against cyber-attacks
Using blockchain to defend against cyber-attacks
This reference text will be useful for students and researchers interested and working in future cyber security issues in the light of emerging technology in the cyber world.
Contents
Section 1: Introduction to ML in Cyber Security
Introduction and Importance of ML techniques in Cyber Security (to be written)
Review of Machine Learning approaches in the Field of Healthcare
Scope of Machine Learning and Blockchain in Cyber Security
Section 2: Defending Cyber Attack using Machine Learning
Detection of Spear Phishing using Natural Language Processing
A Study of Recent Techniques to detect zero-day Phishing attacks
Analysis of Intelligent techniques for Financial Fraud detection
Evaluation of Learning Techniques for Intrusion Detection System
Section 3: Defending Cyber Attack using Deep Learning
Deep Neural Networks for Cybersecurity
Deep Learning in Malware Identification and Classification
Section 4: Defending Cyber Attack using Advance Technology
Cyber threat mitigation using Machine Learning, Deep Learning, Artificial Intelligence, and Blockchain
Behavioral Monitor and Blocker of a Cyber Malware using Block chain, Machine learning and VAPT
Quantum Safe Cryptography
