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Velody - A novel method for music steganography
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0001-9307-9421
2017 (English)In: 2017 3rd International Conference on Frontiers of Signal Processing (ICFSP 2017): September 6-8, 2017, Paris, France, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 15-19Conference paper, Published paper (Refereed)
Abstract [en]

This study describes a new method for musical steganography utilizing the MIDI format. MIDI is a standard music technology protocol that is used around the world to create music and make it available for listening. Since no publicly available method for MIDI steganography has been found (even though there are a few methods described in the literature), the study investigates how a new algorithm for MIDI steganography can be designed so that it satisfies capacity and security criteria. As part of the study, a method for using velocity values to hide information in music has been designed and evaluated, during which the capacity of the method is found to be comparable with similar methods. In an audibility test, it is observed that audible impact on the music can not be distinguished at any reasonable significance level, which means that also a security criterion is met. © 2017 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 15-19
Keywords [en]
Algorithms, Security of data, Security systems, Steganography, Velocity, audibility, capacity, Embeddings, Information hiding technology, MIDI, music, Secret messages, teganography, Signal processing
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:hh:diva-40213DOI: 10.1109/ICFSP.2017.8097052ISI: 000425242400003Scopus ID: 2-s2.0-85039897034ISBN: 978-1-5386-1038-1 (electronic)ISBN: 978-1-5386-1037-4 (print)ISBN: 978-1-5386-1036-7 (print)ISBN: 978-1-5386-1039-8 (print)OAI: oai:DiVA.org:hh-40213DiVA, id: diva2:1366095
Conference
2017 3rd International Conference on Frontiers of Signal Processing (ICFSP 2017), Paris, France, September 6-8, 2017
Available from: 2019-10-28 Created: 2019-10-28 Last updated: 2021-05-11Bibliographically approved

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Weckstén, MattiasJärpe, Eric

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Citation style
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