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Security Awareness Course\n\n[![Deploy mdBook](https://github.com/durellwilson/security-awareness-course/actions/workflows/deploy.yml/badge.svg)](https://github.com/durellwilson/security-awareness-course/actions/workflows/deploy.yml)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Hacktoberfest](https://img.shields.io/badge/Hacktoberfest-2025-orange.svg)](https://hacktoberfest.com)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](CONTRIBUTING.md)\n\n\u003e Comprehensive, peer-reviewed security awareness training for deepfakes, prompt injection, and AI security threats.\n\n**📚 [Read the Course](https://durellwilson.github.io/security-awareness-course/)** | **🤝 [Contribute](CONTRIBUTING.md)** | **💬 [Discuss](https://github.com/durellwilson/security-awareness-course/discussions)**\n\n---\n\n## 🎯 What You'll Learn\n\n### Deepfake Security\n- Detection techniques (visual, audio, metadata)\n- Prevention strategies (authentication, verification)\n- Incident response procedures\n- Forensic analysis methods\n\n### AI Security\n- Prompt injection attacks and defenses\n- LLM security best practices\n- Input validation and sanitization\n- Output filtering and monitoring\n\n### Industry Standards\n- NIST AI Risk Management Framework\n- OWASP Top 10 for LLM Applications\n- ISO/IEC 42001:2023 (AI Management)\n- C2PA Content Authenticity\n\n### Legal \u0026 Compliance\n- GDPR, CCPA, BIPA regulations\n- Criminal statutes (18 USC §2252, CFAA)\n- Civil liability and remedies\n- International frameworks\n\n## 📖 Course Structure\n\n**20+ Chapters** organized into:\n\n1. **Basics** - Understanding deepfakes and AI threats\n2. **Detection** - Identifying manipulated content\n3. **Prevention** - Protecting systems and users\n4. **Response** - Handling security incidents\n5. **Advanced** - Forensics, legal, standards, threat intelligence\n6. **Community** - Learning paths and resources\n\n## 🚀 Quick Start\n\n### Read Online\nVisit **[durellwilson.github.io/security-awareness-course](https://durellwilson.github.io/security-awareness-course/)**\n\n### Run Locally\n```bash\n# Clone repository\ngit clone https://github.com/durellwilson/security-awareness-course.git\ncd security-awareness-course\n\n# Install mdBook\ncargo install mdbook\n\n# Serve locally\ncd book \u0026\u0026 mdbook serve\n# Open http://localhost:3000\n```\n\n## 🤝 Contributing\n\nWe welcome contributions from the security community!\n\n### Ways to Contribute\n- 📊 **Research**: Submit peer-reviewed findings\n- 💻 **Code**: Add detection/prevention examples\n- 📝 **Documentation**: Improve explanations\n- 🔍 **Case Studies**: Document real incidents\n- 🌍 **Translation**: Internationalize content\n\nSee **[CONTRIBUTING.md](CONTRIBUTING.md)** for detailed guidelines.\n\n### Recognition Levels\n- 🌱 **Contributor**: 1+ merged PR\n- 🌿 **Regular**: 5+ merged PRs\n- 🌳 **Core**: 20+ merged PRs\n\n## 🔬 Research Quality\n\nAll content is backed by **peer-reviewed research**:\n\n- ✅ Academic journals (IEEE, ACM, California Law Review)\n- ✅ Government standards (NIST, CISA, NSA)\n- ✅ Industry frameworks (OWASP, MITRE ATT\u0026CK)\n- ✅ Reputable vendors (Microsoft, Google, IBM)\n\n**15+ Citations** with DOI/arXiv verification links.\n\n## 🛠️ Technical Stack\n\n- **Documentation**: [mdBook](https://rust-lang.github.io/mdBook/)\n- **CI/CD**: GitHub Actions (test, build, deploy)\n- **Hosting**: GitHub Pages\n- **Security**: Trivy scanning, markdown linting\n- **Quality**: Automated spell checking, link validation\n\n## 📊 Statistics\n\n- **500%** increase in deepfake videos (2022-2024)\n- **73%** of LLM apps vulnerable to prompt injection\n- **96%** of deepfakes are non-consensual content\n- **$4.5M** average data breach cost\n\n*Sources: Sensity AI, Microsoft Security, IBM Security*\n\n## 🎓 Learning Paths\n\n### Beginner (2-4 weeks)\nIntroduction → Basics → Detection → Prevention\n\n### Intermediate (4-8 weeks)\nBeginner + Prompt Injection → Advanced Detection → Incident Response\n\n### Advanced (8-12 weeks)\nIntermediate + Forensics → Legal → Standards → Threat Intelligence\n\n## 🌟 Community\n\n### Detroit Open Source\nPart of the **Detroit tech community** contributing to:\n- Developer education\n- Security awareness\n- Open source collaboration\n- Hacktoberfest initiatives\n\n### Connect\n- **GitHub Discussions**: Ask questions, share insights\n- **Issues**: Report bugs, request features\n- **Pull Requests**: Contribute improvements\n\n## 📜 License\n\nMIT License - see [LICENSE](LICENSE) for details.\n\n## 🔒 Security\n\nFound a vulnerability? See [SECURITY.md](SECURITY.md) for responsible disclosure.\n\n## 🙏 Acknowledgments\n\nBuilt with contributions from the open source security community.\n\n**Key Research Sources**:\n- Chesney \u0026 Citron (2019) - California Law Review\n- Tolosana et al. (2020) - Information Fusion\n- Greshake et al. (2023) - arXiv\n- NIST AI RMF (2023)\n- OWASP LLM Top 10 (2024)\n\n---\n\n**⭐ Star this repo** to support security education!\n\n**🚀 [Start Learning Now](https://durellwilson.github.io/security-awareness-course/)**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdurellwilson%2Fsecurity-awareness-course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdurellwilson%2Fsecurity-awareness-course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdurellwilson%2Fsecurity-awareness-course/lists"}