Audio Watermarking Techniques

Kim, Hyoung Joong; Choi, Yong Hee; Seok, Jongwon; Hong, Jin‐Woo

doi:10.1142/9789812562524_0008

Cited by 55 publications

(11 citation statements)

References 19 publications

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“…Audio watermarking using psychoacoustic watermark filtering [16,17] is another popular audio watermarking. Various blind and non-blind watermarking techniques for digital audio signals using compression expansion of signals are also discussed in [18,19].…”

Section: Audio Watermarkingmentioning

confidence: 99%

Digital Watermarking: Applications, Techniques and Attacks

S¹,

N²,

R³

2012

IJCA

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As information transmission technology progresses, the technology to protect data from unauthorized users also needs to be enhanced. Data can be plagiarized, modified, deleted etc without proper authentication and authorization. Various security mechanisms have evolved that enhances the security of digital media. Each technology to be applied successfully should ensure a balance between the three pillars of security; confidentiality, integrity and availability. Digital watermarking is one such technique. It is a mechanism to monitor the digital media with the help of information residing within the content itself. To put it simply, digital watermarking is embedding of information into source content that can be detected and extracted. Digital watermarking can be applied to media like text, audio, image, video etc. This paper provides a comprehensive idea behind this technology and its usage.

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Section: Audio Watermarkingmentioning

confidence: 99%

Digital Watermarking: Applications, Techniques and Attacks

S¹,

N²,

R³

2012

IJCA

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“…During last decade, different applications of digital watermarking have been proposed is various fields such as text [5], audio [6][7][8][9] , image [10,11] and video [12,13]. These applications can be classified from different aspects.…”

Section: Intruductionmentioning

confidence: 99%

“…After that, digital watermarking was applied in many ways, but this technique did not attract scientists' attention as an important research issue until 1990. At the beginning of 1990, it was attracting attention as an interesting research subject which has retained its importance until now [4].During last decade, different applications of digital watermarking have been proposed is various fields such as text [5], audio [6][7][8][9] , image [10,11] and video [12,13]. These applications can be classified from different aspects.…”

mentioning

confidence: 99%

Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform

Mosleh¹,

Setayeshi²,

Mosleh³

2011

IJCEE

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Abstract-Digital watermarking techniques are attracting attention as a proper solution to protect copyright for multimedia data. In this paper, we propose a new audio watermarking method, in wavelet coefficients in the way that human auditory system is not sensitive to it. The proposed method can embed the watermark data into levels 3-4 approximation coefficients of wavelet transform using echo and discrete Fourier transform. The extraction algorithm of the proposed method extracts two watermark sequences from watermarked data. The final watermark sequence is obtained by extracted sequence using a hidden key. The experimental results show that the proposed method is very robust to noise. In order to evaluate, the proposed method is compared with the methods based on FFT, Echo and AM Index Terms-Audio Watermarking, Discrete Fourier Transform (DFT) Discrete Wavelet, Transform (DWT) I. INTRUDUCTIONWith the recent development of digital information technology, all personal computer owners enjoy a multimedia processor, a vast band having access to the entire world and an interchangeable memory for digital information. Therefore, digital information is accessible to everyone, and they are distributed easily. With broadcasting information transfer by internet network, the firms can present their digital products by internet network. Although this technology development causes many works to do easy, it has caused some problem as next technologies. Existing different devices such as printing-machines and copying media make the copying of these data easy [1]. Now there are two standard methods to protect copyright of digital documents such as coding and digital signature.The major problem of coding method is that it does not protect the document placing in the stage after coding and is useable. In other words, the user, after applying certain key and decoding the document, can change document in any way or make unauthorized copies of it in numbers. So, document owner is not able to claims his right. If it is made a little change intentionally or not in digital document even one bit of it which uses digital signature to protect copyright, it Manuscript received February 14, 2011; revised July 11, 2011. Mahdi will be impossible for receiver to retrieve digital signature. As a result, the document will lose its credit easily [2].Studies show that the only solution to this problem is to add security information to document in such a way that it doesn't separate from document during its life time and also remains undetectable to document user as much as possible. One of the proper solutions is digital watermarking. Watermarking is a technique that embeds imperceptible and statistically undetectable information into digital data (e.g. video, images and audio signals). This embedded information contains certain information (signature, logo, ID number, etc) which uniquely related to the owner or distributer.Digital watermarking was invented by one of the Muzac firm engineers, Emil Hem brook, in 1954. In this invention an ID co...

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“…Watermarking sering digunakan pada berkas teks, berkas citra, berkas audio, maupun berkas video [7]. Watermarking memiliki dua bagian penting, yaitu berkas asli dan berkas penanda.…”

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“…Watermarking berkerja dengan cara menandai berkas asli dengan berkas penanda. Adapun metode watermarking yang dikembangkan antara lain phase coding, yaitu mereduksi sinyal dan selanjutnya mengganti dengan penanda [8]; echo hiding hanya digunakan pada media pembawa audio dengan memanfaatkan delay sinyal yang dihasilkan [9]; perceptual coding memampatkan ruang sinyal untuk penyisipan [10]; quantizatioin index modulation [11]; cepstrum domain menyisipkan pesan pada beberapa komponen cepstral [12]; patchwork berkerja dengan mengubah nilai koefisien sinyal kemudian menggantinya dengan data sisipan [13]; dan spread spectrum pengembang dari metode least significant bit (LSB) [7].…”

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Peningkatan Kapasitas Penyisipan Audio Data Hiding Berbasiskan Modifikasi Metode Least Significant Digit

Fiqar¹,

Ahmad²

2017

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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Abstract-Nowadays, the needs of data security is proportional to the amount of data usage as the effect from easiness in internet access. There are many ways to protect data in order to avoid data leakage, such as cryptography, watermarking, and data hiding. The latter is conducted by hiding secret data into a carrier. A popular method in data hiding is Least significant digit (LSD). The hiding is carried out by changing the value of binary secret data into decimal in specific segment. Then, the decimal value of secret data is inserted into the carrier. The process in LSD method is relatively simple and easier to implement, but the LSD has weakness in pivoting point as reference of data changes. This results in a change into the original data carrier. Additionally, this also has limited amount of data capacity that can be inserted.On the other hand, Global-Section Search method (GSS) is an optimization method used to find an optimum value between two signals. Newly acquired signal GSS is further used as a pivoting point and slot area to paste the data secret.This study proposes a new method of data hiding by using Least Significant Digit and Global-section search (LSD-GSS) to increase the capacity of secret data insertion. The performance of LSD-GSS as proposed method is tested by comparing the LSD method and using 15 data sets of audio in various genres as carrier media and various large capacity of 12 secret data. SNR is used to find out the quality of hidden data audio. The experimental result shows that the LSD-GSS has increased the capacity of secret data that can be inserted without changing the original data carrier.Intisari-Saat ini, kebutuhan keamanan data berbanding lurus dengan jumlah pengguna data sebagai efek kemudahan mengakses internet. Banyak cara memberikan perlindungan data agar tidak terjadi kebocoran data, antara lain kriptografi, watermarking, dan data hiding. Data hiding dilakukan dengan menyembunyikan data rahasia ke dalam media pembawa. Metode yang populer dalam data hiding ialah Least Significant Digit (LSD). Metode penyembunyian ini diawali dengan mengubah data rahasia biner menjadi data rahasia desimal dengan segmen tertentu. Selanjutnya, nilai desimal dari data rahasia disisipkan pada media pembawa. Proses metode LSD cenderung relatif sederhana dan mudah diterapkan, tetapi LSD memiliki kelemahan pada pivoting point sebagai acuan perubahan data. Hal ini berakibat terjadinya perubahan data asli media pembawa. Selain itu, LSD memiliki keterbatasan pada besarnya jumlah kapasitas data yang dapat disisipkan.Di sisi lain, metode Global-Section Search (GSS) merupakan metode optimasi yang digunakan untuk mencari suatu nilai optimum antara dua sinyal. Sinyal baru yang diperoleh GSS selanjutnya digunakan sebagai pivoting point dan slot area untuk menyisipkan data rahasia.Makalah ini mengusulkan metode baru data hiding menggunakan Least Significant Digit dan Global-Section Search (LSD-GSS) untuk meningkatkan kapasitas penyisipan data rahasia. Ujicoba kinerja metode usulan LSD-GSS dibandingkan den...

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Audio Watermarking Techniques

Cited by 55 publications

References 19 publications

Digital Watermarking: Applications, Techniques and Attacks

Digital Watermarking: Applications, Techniques and Attacks

Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform

Peningkatan Kapasitas Penyisipan Audio Data Hiding Berbasiskan Modifikasi Metode Least Significant Digit

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