A view on latest audio steganography techniques

Djebbar, Fatiha; Ayad, Beghdad; Hamam, Habib; Abed-Meraim, Karim

doi:10.1109/innovations.2011.5893859

Cited by 79 publications

(50 citation statements)

References 22 publications

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“…If single information is to be produced from audio signal, single bit information can be encoded only. So, this mechanism audio signal is separated into blocks before encoding, modified and then concatenated to produce the final audio signal [6]. The main drawback of this technique is its low capacity as it is computationally heavy and complex to add echo for each bit.…”

Section: B Echo Hidingmentioning

confidence: 99%

“…In DSSS, the secret message is spread across the spectrum by constant known as chip rate, and then it is modulated with signal and then interleaved with host signal. In FHSS the frequency of spectrum is modified to allow it to hop briskly between frequencies and allowing fast wrapping of information [6]. The limitation of this method is it introduces distortion to the original audio signal.…”

Section: Spread Spectrummentioning

confidence: 99%

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Performance Improvement of Threshold based Audio Steganography using Parallel Computation

Shoaib¹,

Khan²,

Shehzad³

et al. 2016

ijacsa

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Abstract-Audio steganography is used to hide secret information inside audio signal for the secure and reliable transfer of information. Various steganography techniques have been proposed and implemented to ensure adequate security level. The existing techniques either focus on the payload or security, but none of them has ensured both security and payload at same time. Data Dependency in existing solution was reluctant for the execution of steganography mechanism serially. The audio data and secret data pre-processing were done and existing techniques were experimentally tested in Matlab that ensured the existence of problem in efficient execution. The efficient least significant bit steganography scheme removed the pipelining hazard and calculated Steganography parallel on distributed memory systems. This scheme ensures security, focuses on payload along with provisioning of efficient solution. The result depicts that it not only ensures adequate security level but also provides better and efficient solution.

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Section: B Echo Hidingmentioning

confidence: 99%

Section: Spread Spectrummentioning

confidence: 99%

Performance Improvement of Threshold based Audio Steganography using Parallel Computation

Shoaib¹,

Khan²,

Shehzad³

et al. 2016

ijacsa

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“…Otherwise modify the LSB's of any one of the individual samples in that group to make the parity bit equal to the data bit. Thus, the sender has more option in encoding the secret data bit, and the signal can be altered in a more unobtrusive fashion [23].…”

Section: Parity Codingmentioning

confidence: 99%

A Survey on Audio Steganography Approaches

Singh¹

2014

IJCA

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Today's internet community the secure data transfer is bounded due to its attack on data communication. Security of data can be achieved by implementing steganography techniques. All of the existing steganographic techniques use the digital multimedia files as a cover mediums to conceal secret data. Audio file use as a cover medium in steganography because of its larger size compare to other carrier's file such as text, image. So there are more possibilities to hide large amount of data inside digital audio file. Signals and digital audio files make suitable mediums for steganography because of its high level of redundancy and high data transmission rate. This is not easy to hide data in real time communication audio signals. In this paper we will survey the overall principles of hiding secret data in audio file using audio data hiding techniques, and deliver an overview of present techniques and functions and also discuss the advantages and disadvantages of different types of audio steganographic methods.

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“…Namun, tidak dipungkiri ada juga penelitian yang dikembangkan untuk meningkatkan dua hal tersebut. Khususnya untuk penelitian yang terkait dengan media pembawanya, berupa berkas audio, ada berbagai macam metode yang dapat digunakan dalam proses penyisipan data pada berkas audio, antara lain LSB; echo hiding, dilakukan dengan menyisipkan satu bit data rahasia pada sinyal echo [15]; phase coding, yaitu penyisipan dengan mengubah sinyal ke domain frekuensi menggunakan discrate fourier transform (DFT) [16]; spread spectrum, yaitu penyisipan dengan proses modulasi yang diawali dengan proses enkripsi pada pesan rahasia [17]; tone insertion, yang menggunakan tone rendah untuk ruang penyisipan [18]; dan LSD, yaitu hasil sampling sinyal disisipkan berupa nilai desimal [19].…”

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“…Pada spread spectrum, salah satu metode penyisipan data yang tidak tergantung pada sinyal asli, pesan rahasia disisipkan sepanjang frekuensi spectrum audio sinyal [17]. Metode ini memiliki beberapa media yang dibutuhkan, antara lain media pembawa, data rahasia, dan sinyal chip.…”

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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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A view on latest audio steganography techniques

Cited by 79 publications

References 22 publications

Performance Improvement of Threshold based Audio Steganography using Parallel Computation

Performance Improvement of Threshold based Audio Steganography using Parallel Computation

A Survey on Audio Steganography Approaches

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

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