Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Research and Implementation of Text Digital Watermarking Based on File Filter Driver

Authors
Yunhan Wang, Zining Yan, Liang Kou
Corresponding Author
Yunhan Wang
Available Online June 2017.
DOI
10.2991/icmia-17.2017.31How to use a DOI?
Keywords
Digital watermarking; Electronic documents; Data leakage; Minifilter
Abstract

This paper elaborates on adoping both the file filter driver technology and digital watermarking to protect the file and solve the problem of data leakage. Used to develop a filtering driver at the nernel level to encrypt the files, Minifilter technology can offset the lack of robustness of font color algorithm, and achieve the embedding of watermark information in the unformatted text. Based on the analysis of the experimental data, we find that Minifilter has good practicability and effectiveness. Apart from preventing the leakage, it can be used to trace and locate the leakage, giving more comprehensive protection to the digital documents.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
10.2991/icmia-17.2017.31How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yunhan Wang
AU  - Zining Yan
AU  - Liang Kou
PY  - 2017/06
DA  - 2017/06
TI  - Research and Implementation of Text Digital Watermarking Based on File Filter Driver
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 174
EP  - 183
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.31
DO  - 10.2991/icmia-17.2017.31
ID  - Wang2017/06
ER  -