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Static-Analysis-Based Solutions to Security Challenges in Cloud-Native Systems: Systematic Mapping Study.

Md Shahidur Rahaman1, Agm Islam1, Tomas Cerny1

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This study surveys defensive mechanisms for cloud-native systems, focusing on static analysis to detect microservice vulnerabilities and attacks. It aids developers in selecting appropriate security controls for enhanced system protection.

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Area of Science:

  • Computer Science
  • Software Engineering
  • Cybersecurity

Background:

  • Cloud-native systems require robust security measures against evolving threats.
  • Microservices architectures introduce unique security challenges and attack vectors.
  • Existing research on microservice security is fragmented, necessitating a structured overview.

Purpose of the Study:

  • To systematically review and synthesize current defense mechanisms for microservice security.
  • To identify and analyze static analysis techniques for detecting vulnerabilities and attacks in cloud-native systems.
  • To provide a comprehensive guide for practitioners and developers on microservice security solutions.

Main Methods:

  • Systematic literature review methodology.
  • Extraction and analysis of 1049 relevant publications, selecting 50 primary studies.
  • Categorization of defense mechanisms based on static analysis for microservice security.

Main Results:

  • A structured overview of existing static analysis-based defense mechanisms for microservices.
  • Identification of common security principles violated in microservice architectures.
  • Synthesis of approaches for detecting and reacting to microservice attacks and vulnerabilities.

Conclusions:

  • Static analysis offers effective solutions for securing microservice architectures.
  • A comprehensive understanding of available defense mechanisms is crucial for cloud-native system security.
  • This review assists developers in implementing tailored security strategies for their systems.