Neural Networks at Work in Industry
The proposed book takes neural networks and industry applications as one coherent problem…
Neural NetworksView BookThe core subject here is Identity and Access Management, but the organizing theme is specifically 'First Principles'. In the Defensive Cybersecurity Foundations series, the book will introduce the abstraction before any implementation, using checkable reasoning to reach a tested design or algorithm explained through traceable examples.
Introduction — Identity and Access Management: First Principles (Defensive Cybersecurity Foundations) 1. The Computational Problem: Identity and Access Management 2. Key Abstractions and Data Structures — the implications of first principles 3. Architecture and Interface Choices — evidence surrounding identity and access management 4. Planning a Correct Implementation — a case framed by first principles 5. From Pseudocode to Testable Code — an inquiry into identity and access management 6. The First Principles Treatment 7. Verification with Unit Tests — evidence surrounding identity and access management 8. Complexity and Resource Trade-offs — a case framed by first principles 9. Handling Errors and Edge Cases — an inquiry into identity and access management 10. Secure Design and Maintenance — the implications of first principles 11. Comparing Two Alternative Approaches — evidence surrounding identity and access management 12. A Realistic Application Case — a case framed by first principles Conclusion — Synthesis, Limitations, and Further Study