Malware Narratives: An Introduction, Revised Edition (Software Narratology)

Vostokov, Dmitry; Software Diagnostics Services

ISBN 10: 1912636522 / ISBN 13: 9781912636525

Published by Opentask, 2025

About this Item

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Bibliographic Details

• Title: Malware Narratives: An Introduction, Revised Edition (Software Narratology)
• Publisher: Opentask
• Publication Date: 2025
• Language: English
• ISBN 10: 1912636522
• ISBN 13: 9781912636525
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

Software Narratology, the science of software stories, found its successful application in software diagnostics of abnormal software behavior, especially in the pattern-oriented analysis of software logs from complex systems with millions of events, thousands of threads, hundreds of processes and modules. This is a revised and updated transcript of the Software Diagnostics Services seminar on the new application of software narratology to malware analysis.

About the Author

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.