Accelerated Windows API for Software Diagnostics: With Category Theory in View, Second Edition (Windows Internals Supplements)

The book contains the full transcript of Software Diagnostics Services training with 10 hands-on exercises on various topics related to Windows API.

Knowledge of Windows API is necessary for:

• Development
• Malware analysis
• Vulnerability analysis and exploitation
• Reversing
• Diagnostics
• Debugging
• Memory forensics
• Crash and hang analysis
• Secure coding
• Static code analysis
• Trace and log analysis

The training uses a unique and innovative pattern-oriented analysis approach and provides:

• Overview
• Classification
• Patterns
• Internals
• Development examples
• Analysis examples

The second edition includes the relevant x64 disassembly overview and additional topics.

Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics and Observability Institute. Vostokov has also authored over 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has over 30 years of experience in software architecture, design, development, and maintenance in various industries, including leadership, technical, and people management roles. Dmitry founded OpenTask Iterative and Incremental Publishing and Software Diagnostics Technology and Services (former Memory Dump Analysis Services). In his spare time, he explores Software Narratology and Quantum Software Diagnostics. His interest areas are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, semiotics, artificial intelligence, machine learning, and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include functional programming, cloud native computing, monitoring, observability, visualization, security, automation, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.