Covert Channels through Random Number Generator - Mechanisms, Capacity Estimation and Mitigations
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
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
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