TY - GEN
T1 - Improved Interpolation-Based Reversible Audio Data Hiding Using Sample Dispersion and Value Shifting
AU - Samudra, Yoga
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Since the last decade, data transmission has kept developing faster than ever. With the support of online systems and mobile devices, the development of data transmission is also followed by up-to-date or newer applications. However, this development of data transmission is not without risk. Many users are still negligent in maintaining their data privacy, leading to disclosing their private data. Therefore, data security is needed to ensure the safety of the private data being transmitted. Data hiding is one of the methods introduced in data security. In this research, private data are embedded inside an audio cover to be retrieved safely from the receiver. Nevertheless, the capacity of private data and the similarity level of embedded audio files become a significant problem. We focus on extending the capacity of private data by utilizing an interpolation-based approach and optimizing the similarity level by dispersing the embedding space and shifting the embedded value to be as close as possible to the original audio file. The experimental results show that this approach can obtain a similarity level of 103.5 dB when embedding 100 kb of data and fall to approximately 88.15 dB when embedding 300 kb of data.
AB - Since the last decade, data transmission has kept developing faster than ever. With the support of online systems and mobile devices, the development of data transmission is also followed by up-to-date or newer applications. However, this development of data transmission is not without risk. Many users are still negligent in maintaining their data privacy, leading to disclosing their private data. Therefore, data security is needed to ensure the safety of the private data being transmitted. Data hiding is one of the methods introduced in data security. In this research, private data are embedded inside an audio cover to be retrieved safely from the receiver. Nevertheless, the capacity of private data and the similarity level of embedded audio files become a significant problem. We focus on extending the capacity of private data by utilizing an interpolation-based approach and optimizing the similarity level by dispersing the embedding space and shifting the embedded value to be as close as possible to the original audio file. The experimental results show that this approach can obtain a similarity level of 103.5 dB when embedding 100 kb of data and fall to approximately 88.15 dB when embedding 300 kb of data.
KW - Data hiding
KW - Information security
KW - Network infrastructure
KW - Network security
UR - http://www.scopus.com/inward/record.url?scp=85126356925&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-96305-7_60
DO - 10.1007/978-3-030-96305-7_60
M3 - Conference contribution
AN - SCOPUS:85126356925
SN - 9783030963040
T3 - Lecture Notes in Networks and Systems
SP - 647
EP - 656
BT - Hybrid Intelligent Systems - 21st International Conference on Hybrid Intelligent Systems, HIS 2021
A2 - Abraham, Ajith
A2 - Siarry, Patrick
A2 - Piuri, Vincenzo
A2 - Gandhi, Niketa
A2 - Casalino, Gabriella
A2 - Castillo, Oscar
A2 - Hung, Patrick
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st International Conference on Hybrid Intelligent Systems, HIS 2021 and 17th International Conference on Information Assurance and Security, IAS 2021
Y2 - 14 December 2021 through 16 December 2021
ER -