New Cybernerves Research Domain – Detect!

In alignment with the NIST Cybersecurity framework and industry best practices, the Cybernerves research group has identified the Cyber Detect domain as one of its seven research domains. Subsequently, the group has embarked on extensive research, covering fifteen (15) distinct and comprehensive topics within this domain.

Research Topics:

1. Behavioral Analysis for Early Detection of Advanced Persistent Threats (APTs)
2. Machine Learning Algorithms for Dynamic and Adaptive Threat Detection
3. Integration of Threat Intelligence Feeds for Comprehensive Threat Landscape Visibility
4. Next-Generation Security Information and Event Management (SIEM) Systems
5. Enhancing Cyber Threat Hunting Techniques for Proactive Security Operations
6. Cyber Deception Technologies: Strategies for Misdirection and Decoy
7. Quantum Computing Threats: Detecting Quantum-Based Cyber Attacks
8. Real-time Analysis of Network Traffic Patterns for Anomaly Detection
9. Application of User and Entity Behavior Analytics (UEBA) in Threat Detection
10. Effective Incident Response Strategies for Swift Threat Containment
11. Challenges and Opportunities in Detecting Threats within Encrypted Traffic
12. Automation and Orchestration of Cyber Threat Detection Workflows
13. Role of Big Data Analytics in Scalable Cyber Threat Detection Solutions
14. Collaborative Threat Intelligence Sharing for Collective Cyber Defense
15. Human-Centric Approaches to Improving Cybersecurity Awareness for Threat Detection