Dataset Watermarking Using the Discrete Wavelet Transform

Mike P. Raave, Devriş İşler, Devriş İşler, Zekeriya Erkin

2025

Abstract

In this work, we focus on watermarking time series datasets and explore one of the techniques known from audio-watermarking, namely Discrete Wavelet Transform (DWT) based watermarking, to investigate its effectiveness. We adapt (Attari and A. Shirazi, 2018) and embed a bit stream into a time series dataset by calculating the DWT coefficients and modifying their magnitudes for embedding. Our experimental results on two real-world datasets show good robustness against a small range of data modification attacks but lack capability in larger-scale attacks. We believe that our work could initiate a new research direction on dataset watermarking using well-known techniques from signal processing.

Paper Citation

in Harvard Style

Raave M., İşler D. and Erkin Z. (2025). Dataset Watermarking Using the Discrete Wavelet Transform. In Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-760-3, SciTePress, pages 676-681. DOI: 10.5220/0013556300003979

in Bibtex Style

@conference{secrypt25,
author={Mike Raave and Devriş İşler and Zekeriya Erkin},
title={Dataset Watermarking Using the Discrete Wavelet Transform},
booktitle={Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2025},
pages={676-681},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013556300003979},
isbn={978-989-758-760-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - Dataset Watermarking Using the Discrete Wavelet Transform
SN - 978-989-758-760-3
AU - Raave M.
AU - İşler D.
AU - Erkin Z.
PY - 2025
SP - 676
EP - 681
DO - 10.5220/0013556300003979
PB - SciTePress