Covert Channels through Random Number Generator - Mechanisms, Capacity Estimation and Mitigations
Association for Computing Machinery (ACM) via YouTube
Stuck in Tutorial Hell? Learn Backend Dev the Right Way
Learn the Skills Netflix, Meta, and Capital One Actually Hire For
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the mechanisms, capacity estimation, and mitigations of covert channels through random number generators in this conference talk presented at CCS 2016. Delve into the usage examples, the role of DCD instruction in creating covert channels, and theoretical estimations of channel capacity. Examine the impact of various factors such as latencies, GPU noise, and complex protocols on covert communication. Learn about potential software and hardware mitigation strategies to counter these security threats. Gain insights from the research conducted by Dmitry Evtyushkin and Dmitry Ponomarev from SUNY Binghamton, presented at the 23rd ACM Conference on Computer and Communications Security in Vienna, Austria.
Syllabus
Introduction
Outline
Usage Example
Random Number Generator
DCD Instruction
Creating a Covert Channel
Capacity Estimation
Results
Theoretical Estimation
Treatment
Latencies
Province
GPU Noise
Complex Protocols
Software Mitigation
Hardware Mitigation
Conclusion
Taught by
ACM CCS