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About the Book

This training course is a Linux ARM64 (A64) version of the previous Practical Foundations of Linux Debugging, Disassembly, Reversing book. It also complements Accelerated Linux Core Dump Analysis training course.

The book skeleton is the same as its x64 Linux predecessor, but the content was revised entirely because of a different Linux distribution and CPU architecture.

The course is useful for:

  • Software support and escalation engineers, cloud security engineers, SRE, and DevSecOps
  • Software engineers coming from JVM background
  • Software testers
  • Engineers coming from non-Linux environments, for example, Windows or Mac OS X
  • Engineers coming from non-ARM environments, for example, x86/x64
  • Linux C/C++ software engineers without assembly language background
  • Security researchers without assembly language background
  • Beginners learning Linux software reverse engineering techniques

This book can also be used as an ARM64 assembly language and Linux debugging supplement for relevant undergraduate-level courses.


About the Author

Dmitry Vostokov’s avatar Dmitry Vostokov

@DumpAnalysis

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 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.

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