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Microservice Security Framework for IoT by Mimic Defense Mechanism.

Fei Ying1, Shengjie Zhao2, Hao Deng3

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Summary

This study introduces a novel mimic defense framework to enhance container security for IoT applications. It uses variant images and a graph-based scheduling strategy to detect and prevent unknown cyberattacks, improving defense success rates.

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container-based cloudmimic defensemimic transformation

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Area of Science:

  • Cloud computing security
  • Internet of Things (IoT) security
  • Cybersecurity frameworks

Background:

  • Containers and microservices are popular for hosting IoT applications in cloud environments.
  • Vulnerabilities in container images pose significant runtime risks to microservices.
  • Existing vulnerability scanning tools struggle with unpublished threats and require updated databases.

Purpose of the Study:

  • To propose a novel system for strengthening container security against unknown attacks.
  • To introduce a mimic defense framework utilizing variant images for vulnerability detection.
  • To develop a graph-based scheduling strategy for enhanced randomness and heterogeneity in container image deployment.

Main Methods:

  • Constructed a resource pool with variant container images.
  • Observed execution result inconsistencies to identify potential vulnerabilities.
  • Implemented a graph-based scheduling strategy to maximize image randomness and heterogeneity.
  • Developed a prototype system using Kubernetes for practical implementation.

Main Results:

  • The proposed framework requires attackers to send 54.9% more random requests to succeed.
  • The defense success rate against continuous unknown attacks increased by approximately 8.16% compared to baseline methods.
  • Demonstrated the effectiveness of mimic defense in detecting and mitigating novel threats.

Conclusions:

  • The mimic defense framework effectively strengthens container security against unknown cyber threats.
  • The graph-based scheduling strategy enhances system resilience by increasing image heterogeneity.
  • This approach offers a promising solution for securing IoT applications in cloud environments against evolving vulnerabilities.