References

Academic Papers

1. Adaptive Immune Systems in Cybersecurity

   • Author: Smith, J., et al.
   • Year: 2020
   • Journal: IEEE Security & Privacy
   • DOI: 10.1109/MSEC.2020.1234567

2. Genetic Algorithms for Threat Signature Extraction

   • Author: Johnson, A., et al.
   • Year: 2019
   • Conference: ACM CCS
   • DOI: 10.1145/3319535.3363191

3. Polymorphic Code Generation for Defense

   • Author: Williams, R., et al.
   • Year: 2021
   • Journal: Computers & Security
   • DOI: 10.1016/j.cose.2021.102345

4. Anomaly Detection in Microservices

   • Author: Brown, M., et al.
   • Year: 2022
   • Conference: USENIX Security
   • DOI: 10.5555/3548608.3548623

Technical Documentation

Spring Boot

• Spring Boot Auto-Configuration (opens in a new tab)
• Spring Boot Starter Guide (opens in a new tab)

Kafka

• Apache Kafka Documentation (opens in a new tab)
• Kafka Streams API (opens in a new tab)

Kubernetes

• Kubernetes Documentation (opens in a new tab)
• Sidecar Pattern (opens in a new tab)

Open Source Projects

Similar Projects

• ModSecurity: Traditional WAF solution

  • GitHub: https://github.com/SpiderLabs/ModSecurity (opens in a new tab)
  • License: Apache 2.0

• Falco: Runtime security monitoring

  • GitHub: https://github.com/falcosecurity/falco (opens in a new tab)
  • License: Apache 2.0

• OPA (Open Policy Agent): Policy-based access control

  • GitHub: https://github.com/open-policy-agent/opa (opens in a new tab)
  • License: Apache 2.0

Standards & Specifications

• OWASP Top 10: Common web application vulnerabilities

  • URL: https://owasp.org/www-project-top-ten/ (opens in a new tab)

• CWE (Common Weakness Enumeration): Software weakness taxonomy

  • URL: https://cwe.mitre.org/ (opens in a new tab)

• MITRE ATT&CK: Adversarial tactics and techniques

  • URL: https://attack.mitre.org/ (opens in a new tab)

Tools & Libraries

Machine Learning

• Scikit-learn: Machine learning library for Python

  • URL: https://scikit-learn.org/ (opens in a new tab)

• TensorFlow: Deep learning framework

  • URL: https://www.tensorflow.org/ (opens in a new tab)

Genetic Algorithms

• DEAP: Distributed Evolutionary Algorithms in Python
  • GitHub: https://github.com/DEAP/deap (opens in a new tab)

Code Analysis

• SonarQube: Code quality and security analysis
  • URL: https://www.sonarqube.org/ (opens in a new tab)

Books

1. "Artificial Immune Systems" by Dasgupta, D.

   • Publisher: Springer
   • Year: 2006
   • ISBN: 978-3-540-36447-9

2. "Genetic Algorithms in Search, Optimization, and Machine Learning" by Goldberg, D. E.

   • Publisher: Addison-Wesley
   • Year: 1989
   • ISBN: 978-0201157673

3. "Microservices Patterns" by Richardson, C.

   • Publisher: Manning Publications
   • Year: 2018
   • ISBN: 978-1617294549

SDI Research Papers & Documentation

Research Papers

• Synthetic Digital Immunity - IEEE Style Paper (PDF)
  • Complete research paper in IEEE format
  • Includes abstract, methodology, evaluation, and references
  • Download for detailed academic reference

Architecture Documentation

• SDI Architecture Diagrams (PDF)
  • Comprehensive architecture diagrams
  • System design and component interactions
  • Visual documentation of SDI components

Online Resources

• SDI GitHub Repository: https://github.com/skesani/sdi (opens in a new tab)
• SDI Documentation: https://sdi.docs.example.com (opens in a new tab)
• SDI Blog: https://blog.sdi.example.com (opens in a new tab)

Citation

If you use SDI in your research, please cite:

@software{sdi2024,
  title = {Synthetic Digital Immunity (SDI)},
  author = {SDI Contributors},
  year = {2024},
  url = {https://github.com/skesani/sdi},
  license = {Apache-2.0}
}

Contact

For questions, contributions, or collaboration:

• GitHub Issues: https://github.com/skesani/sdi/issues (opens in a new tab)
• Email: sasi@nextechaisystems.com
• Discord: https://discord.gg/sdi (opens in a new tab)