(UPI) Chapter 19: AI in Cybersecurity Course (How To)

Overview

Chapter 19 explores how AI, particularly deep learning models like RNNs and CNNs, enhances malware detection by analyzing static and dynamic features, addressing the growing complexity of cyber threats with automated precision.

Syllabus

• Introduction to AI in Cybersecurity
Overview of AI applications in cybersecurity
The role of AI in addressing cyber threats
Advantages and limitations of AI-based cybersecurity
• Deep Learning Models in Cybersecurity
Introduction to Recurrent Neural Networks (RNNs)
Introduction to Convolutional Neural Networks (CNNs)
Comparison between RNNs and CNNs for cybersecurity tasks
• Malware Detection with AI
Static feature analysis for malware detection
Dynamic feature analysis for malware detection
Improving detection accuracy with ensemble learning
• Implementing RNNs for Cyber Threat Detection
Building RNN models for sequence-based data in cybersecurity
Training and evaluating RNNs on cybersecurity datasets
Case studies on RNN applications in malware detection
• Implementing CNNs for Cyber Threat Detection
Utilizing CNNs for image-based security data analysis
Training and evaluating CNNs on cybersecurity datasets
Case studies on CNN applications in intrusion detection
• Addressing the Complexity of Cyber Threats
Challenges in detecting sophisticated cyber threats
Role of AI in adapting to new and evolving threats
Strategies to improve AI precision in threat detection
• Automation in Cyber Defense
Building automated response systems with AI
Integrating AI with existing security infrastructure
Impact of AI automation on incident response time
• Ethical and Security Considerations
Ethical implications of using AI in cybersecurity
Security risks associated with AI models
Best practices for securing AI systems against adversarial attacks
• Future Trends in AI and Cybersecurity
Emerging AI technologies in cyber defense
Predicting future cyber threats with AI
Innovations in AI to enhance cybersecurity resilience
• Conclusion and Course Wrap-up
Review of key concepts
Discussion on the future of AI in cybersecurity
Final thoughts and further reading resources

Subjects

Information Security (InfoSec)