Malware Narratives

An Introduction, Revised Edition

Dmitry Vostokov, Software Diagnostics Services

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English

Opentask
30 May 2025

Literature: history & criticism; Computer viruses, Trojans & worms

Series: Software Narratology

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.

By: Dmitry Vostokov, Software Diagnostics Services
Imprint: Opentask
Edition: 2nd Revised ed.
Dimensions: Height: 279mm, Width: 216mm, Spine: 4mm
Weight: 204g
ISBN: 9781912636525
ISBN 10: 1912636522
Series: Software Narratology
Pages: 56
Publication Date: 30 May 2025
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

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.