Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)

A Robust Dual Watermarking Encryption Algorithm for Financial Fraud Detection Using High and Low Frequency Components

Authors
Jijun Wang
Corresponding Author
Jijun Wang
Available Online August 2017.
DOI
10.2991/itim-17.2017.6How to use a DOI?
Keywords
Dual watermark, image encryption, chaotic sequence, reversible watermark
Abstract

In this paper we study the robust dual watermarking algorithm in financial fraud detection. We propose a novel dual watermarking algorithm to protect the financial note from unauthorized tampering. First, the target watermark image is converted to binary format. We adopt the reversible and visible watermark to protect private information. Second, the secret key is generated from chaotic Tent map. We use the chaotic encryption to further protect the invisible watermark. Experimental results show that the proposed dual watermark encryption method is effective for financial note authentication. It may prevent potential financial fraud and improve information security.

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 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
August 2017
ISBN
10.2991/itim-17.2017.6
ISSN
1951-6851
DOI
10.2991/itim-17.2017.6How 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  - Jijun Wang
PY  - 2017/08
DA  - 2017/08
TI  - A Robust Dual Watermarking Encryption Algorithm for Financial Fraud Detection Using High and Low Frequency Components
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 23
EP  - 26
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.6
DO  - 10.2991/itim-17.2017.6
ID  - Wang2017/08
ER  -