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2019 | OriginalPaper | Chapter

A Digital Forensic Investigation and Verification Model for Industrial Espionage

Authors : Jieun Dokko, Michael Shin

Published in: Digital Forensics and Cyber Crime

Publisher: Springer International Publishing

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Abstract

This paper describes a digital forensic investigation and verification model for industrial espionage (DEIV-IE) focusing on insider data thefts at the company level. This model aims to advance the state-of practice in forensic investigation and to verify evidence sufficiency of industrial espionage cases by incorporating the crime specific features and analysis techniques of digital evidence. The model is structured with six phases: file reduction, file classification, crime feature identification, evidence mapping, evidence sufficiency verification, and documentations. In particular, we focus on characterizing crime features that have multiple aspects of commonalities in crime patterns in industrial espionage; and the evidence sufficiency verification that is a verification procedure for digital evidence sufficiency for court decision using these crime features. This model has been developed based on analysis of five industrial espionage cases and the literature review, being validated with three additional cases in terms of the effectiveness of the model.

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Metadata
Title
A Digital Forensic Investigation and Verification Model for Industrial Espionage
Authors
Jieun Dokko
Michael Shin
Copyright Year
2019
Book
Digital Forensics and Cyber Crime

Print ISBN: 978-3-030-05486-1

Electronic ISBN: 978-3-030-05487-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-05487-8_7

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