Establishing Genealogies of Born Digital Content: The Suitability of Revision Identifier (RSID) Numbers in MS Word for Forensic Enquiry
Author:
Affiliation:
1. School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, P.O. Box 789, Albury, NSW 2640, Australia
2. Independent Researcher, Canberra, ACT 2602, Australia
Abstract
Publisher
MDPI AG
Subject
Computer Science Applications,Media Technology,Communication,Business and International Management,Library and Information Sciences
Link
https://www.mdpi.com/2304-6775/11/3/35/pdf
Reference14 articles.
1. Lee, H., and Lee, H.-W. (2020, January 5–7). Hidden message detection in MS-Word file by analyzing abnormal file structure. Proceedings of the 2020 International Conference on Green and Human Information Technology (ICGHIT), Hanoi, Vietnam.
2. Forgery Detection Mechanism with Abnormal Structure Analysis on Office Open XML based MS-Word File;Lee;Int. J. Adv. Smart Converg.,2019
3. Dasare, A., and Dhore, M. (2015, January 26–27). Secured Approach for Hiding Data in MS Word Document Using MCDFF. Proceedings of the 2015 International Conference on Computing Communication Control and Automation, Pune, India.
4. Stojanov, I., Mileva, A., and Stojanovic, I. (2014, January 16–20). A new property coding in text steganography of Microsoft Word documents. Proceedings of the Securware 2014: The Eighth International Conference on Emerging Security Information, Systems and Technologies, Lisbon, Portugal.
5. Data concealment and detection in Microsoft Office 2007 files;Park;Digit. Investig.,2009
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