How to Detect Malware in Encrypted Traffic Without Decryption

Explore techniques for detecting malware in encrypted network traffic without compromising encryption integrity in this 46-minute conference talk by Christopher van der Made at NDC Conferences. Delve into the challenges of identifying threats within encrypted data and learn about innovative approaches that leverage observable metadata from network flows. Discover how machine learning models and algorithms offer efficient solutions for malware detection in encrypted traffic without decryption. Gain insights into the broader applications of AI and ML in cybersecurity, setting the stage for a comprehensive understanding of advanced threat detection techniques in encrypted environments.