SimEnc - High-Performance Similarity-Preserving Encryption for Encrypted Docker Image Deduplication
Offered By: USENIX via YouTube
Course Description
Overview
Explore a groundbreaking approach to deduplicating encrypted Docker images in this 18-minute conference talk from USENIX ATC '24. Delve into SimEnc, a high-performance similarity-preserving encryption method that addresses the challenges of deduplicating encrypted images in Docker registries. Learn how this innovative technique integrates semantic hash into message-locked encryption (MLE) to extract semantic information among layers, improving deduplication ratios. Discover the fast similarity space selection mechanism and the novel approach of using Huffman decoding instead of complete layer decompression. Gain insights into SimEnc's superior performance compared to both state-of-the-art encrypted serverless platforms and plaintext Docker registries, including its ability to reduce storage consumption by up to 261.7% and 54.2% respectively, while also improving pull latency.
Syllabus
USENIX ATC '24 - SimEnc: A High-Performance Similarity-Preserving Encryption Approach for...
Taught by
USENIX
Related Courses
Cloud Computing Applications, Part 1: Cloud Systems and InfrastructureUniversity of Illinois at Urbana-Champaign via Coursera Introduction to Cloud Infrastructure Technologies
Linux Foundation via edX Introduction aux conteneurs
Microsoft Virtual Academy via OpenClassrooms The Docker for DevOps course: From development to production
Udemy Windows Server 2016: Virtualization
Microsoft via edX