Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
March 26, 2026Journal of Cybersecurity and PrivacyOpen Access

HyperShield: An Automated Evaluation Platform for Security and Performance Trade-Offs in Virtual Systems

View Full Paper
Ask AI
Bookmark
Share

Authors

FAFaiz AlamMMMohammed Mubeen MifthakSPSahil Bhalchandra Purohit

Discussion

Loading...

Member takes

Overview

Automated evaluation reveals performance trade-offs in security for virtual machines and containers, suggesting optimal strategies for deployment.

Key Points

  • This research aims to develop an automated evaluation platform to assess security performance trade-offs in virtualization.
  • Developed HyperShield, an open-source framework for security evaluation
  • Supported advanced security modules in user and kernel space
  • Mimicked realistic cloud infrastructure for benchmarks
  • Evaluated performance metrics across virtual machines and containers
  • Containers achieved a throughput of 9.38 Gb/s compared to 1.98 Gb/s for VMs
  • VMs showed comparable performance to containers in kernel-space deployments
  • VM access latency was 14.91 ms, similar to Docker's 12.86 ms
  • VMs outperformed Docker in storage benchmarks due to optimized I/O performance

Cite This Study

Alam et al. (2026) studied this question.

synapsesocial.com/papers/69c4cc69fdc3bde448917a44https://doi.org/10.3390/jcp6020056
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Evaluation of Impact of Security Measures on Container-based and VM-based Application Performance in Cloud2025
  2. 2Hyperion: Hardware-Based High-Performance and Secure System for Container Networks2024 · 3 citations
  3. 3Performance evaluation of designated containerization and virtualization solutions using a synthetic benchmark2024
  4. 4Analysis of Virtualization Technologies for High Performance Computing Environments2011 · 209 citations
  5. 5Adaptive and scalable protection framework for virtual machines leveraging deep learning and dynamic defense2025