An Interdisciplinary Approach to Enhancing Cyber Threat Prediction Utilizing Forensic Cyberpsychology and Digital Forensics

Wednesday, October 16, 2024

9:20am – 10:20am PT

Location: Florentine

CPE Credits 1

Speaker(s)

Marshall S. Rich, PhD, CISSP, CISA, CEH

Senior Expert, Cybersecurity
Capital Technology University
Capital Technology University, United States

The Cyber Forensics Behavioral Analysis (CFBA) model combines cyber behavioral sciences with digital forensics to enhance cyber threat predictions linked to Autonomous System Numbers (ASNs). This new approach critiques traditional cybersecurity, which mainly focuses on technicalities, advocating for a blend of technical and behavioral insights.

Utilizing a mixed-methods framework, the model incorporates digital forensics, cybersecurity and forensic psychology. It revolves around four pillars: forensic cyberpsychology, digital forensics, predictive modeling and the Cyber Behavioral Analysis Metric and Score (CBAM and CBS) for ASNs assessment. By bridging gaps in conventional defenses, CFBA promotes a holistic, interdisciplinary strategy for more accurate cyber threat forecasting and urges continuous collaboration in cybersecurity's dynamic arena.

Learning Objectives:

Interdisciplinary Approach: Emphasize the importance of combining cyber behavioral sciences and digital forensics for a more nuanced and effective prediction of cyber threats, showcasing the necessity for both technical skills and understanding of cybercriminal behavior.
Predictive Modeling and Metrics: Highlight the introduction of predictive modeling and the Cyber Behavioral Analysis Metric and Score (CBAM and CBS) as innovative tools for assessing and forecasting threats related to Autonomous System Numbers (ASNs), offering a new standard for cybersecurity efforts.
Collaboration and Evolution: Stress the need for ongoing collaboration across disciplines within the cybersecurity field to adapt and evolve with the complex and ever-changing cyber threat landscape, encouraging the audience to advocate for and participate in cross-sectoral efforts.