Accelerated Linux API for Software Diagnostics
With Category Theory in View
Published on 4. August 2023
Book
Paperback/Softback
234 pages
978-1-912636-62-4 (ISBN)
Description
The book contains the full transcript of Software Diagnostics Services training with 16 hands-on exercises on various topics related to Linux API. Knowledge of Linux 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
Comparison with Windows API
More details
Series
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 280 mm
Width: 216 mm
Thickness: 15 mm
Weight
884 gr
ISBN-13
978-1-912636-62-4 (9781912636624)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.