Anonymization Aspects of a Low-latency VoIP Security Analytics System

Explore the privacy considerations in a low-latency voice-over-IP (VoIP) security analytics system presented at PEPR '24. Delve into the design of an alerting system that employs end-to-end encryption for Privacy Identifiable Information (PII), ensuring data confidentiality from both system administrators and potential intruders. Learn how the system maintains its analytical capabilities while ingesting massive streams of events, analyzing them, and providing automated responses to detected threats. Examine the challenges posed by PII encryption to server-side analytics and client-side CPU performance, and discover how specific application data knowledge and prefix-preserving encryption techniques are utilized to overcome these hurdles. Gain insights into the performance measurements and field validation results, demonstrating the system's ability to support typical security analytical cases, preserve PII privacy, and achieve reasonable processing latency for both human users and automated response facilities.