Improved adaptive partial-matching steganography for Voice over IP

Tian, Hui; Qin, Jie; Guo, Shuting; Huang, Yudong; Liu, Jin; Chen, Yonghong; Cai, Yiqiao

doi:10.1016/j.comcom.2015.08.011

Cited by 12 publications

(8 citation statements)

References 38 publications

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“…The random binary matrix embedding scheme proved to have good embedding transparency and capacity. T i a n et al [10] in 2015 proposed an "Improved adaptive partial matching Steganography for VoIP" which was an extended work of the APMS discussed prior. This method proved to be a more effective approach than the previous one as it balances the Steganographic transparency and bandwidth.…”

Section: Least Significant Bit (Lsb) Modification Methodsmentioning

confidence: 99%

VoIP Steganography Methods, a Survey

Deepikaa

Saravanan

2019

Cybernetics and Information Technologies

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Achieving secured data transmission is not always an easy job. Secret data sharing requires confidentiality and Undetectability. Steganography is preferred than cryptography to achieve undetectability. Steganography hides the secret data inside the other file such as text, audio, video, so that the existence of the secret data is completely hidden. Recent research focuses much on utilizing Voice over Internet Protocol (VoIP) calls as a carrier for data hiding. VoIP calls are much preferred among internet users for its wide availability, dynamic time limit and low cost. This paper focuses on data hiding methods that uses VoIP as a carrier. The paper also analyzes the performance of the algorithms using the three metrics undetectability, bandwidth and robustness.

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Section: Least Significant Bit (Lsb) Modification Methodsmentioning

confidence: 99%

VoIP Steganography Methods, a Survey

Deepikaa

Saravanan

2019

Cybernetics and Information Technologies

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“…One of the effective LSB methods was Matrix embedding which was first proposed by C r a n d a l l [1] and later developed by other researchers. Hybrid Matrix embedding methods [8][9][10][11]18] yielded fruitful results rather than the pure matrix embedding.…”

Section: Introductionmentioning

confidence: 99%

Coverless VoIP Steganography Using Hash and Hash

Penelova

2020

Cybernetics and Information Technologies

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Performing secure and robust embedding and extracting in real time voice streams without deteriorating the voice quality is a great challenge. This paper aims on hiding the secret data bits in the voice packets without modifying any data in the cover thereby improving the embedding transparency and becomes robust against the steganalysis attacks using coverless approach. Initially a hash array is built with the frame size. The cover bit position is identified from the hashing function. The hash array is marked with a flag value to indicate that the particular sample consist of the secret message bit. The hash array is attached with the VoIP samples, at the receiver side the hash table is separated, and the secret bits are extracted based on the hash array. The experimental results conducted on a VoIP prototype proved to be simpler and effective in terms of the computational complexity, undetectability and voice quality at both sender and receiver end.

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“…Although its history can date back to 440 BC [1], its candidate carriers have been ceaselessly evolving with the elapsing of years [2]. Over the last years, the steganographic carriers have developed from image [3,4] to almost all media forms (e.g., video [5,6], audio [7,8], text [9,10], network protocol [11,12], and Voice over IP [13][14][15][16]). However, steganography is a double-edged sword.…”

Section: Introductionmentioning

confidence: 99%

Detecting Steganography of Adaptive Multirate Speech with Unknown Embedding Rate

Tian

Sun

Huang

et al. 2017

Mobile Information Systems

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Steganalysis of adaptive multirate (AMR) speech is a significant research topic for preventing cybercrimes based on steganography in mobile speech services. Differing from the state-of-the-art works, this paper focuses on steganalysis of AMR speech with unknown embedding rate, where we present three schemes based on support-vector-machine to address the concern. The first two schemes evolve from the existing image steganalysis schemes, which adopt different global classifiers. One is trained on a comprehensive speech sample set including original samples and steganographic samples with various embedding rates, while the other is trained on a particular speech sample set containing original samples and steganographic samples with uniform distributions of embedded information. Further, we present a hybrid steganalysis scheme, which employs Dempster-Shafer theory (DST) to fuse all the evidence from multiple specific classifiers and provide a synthesized detection result. All the steganalysis schemes are evaluated using the well-selected feature set based on statistical characteristics of pulse pairs and compared with the optimal steganalysis that adopts specialized classifiers for corresponding embedding rates. The experimental results demonstrate that all the three steganalysis schemes are feasible and effective for detecting the existing steganographic methods with unknown embedding rates in AMR speech streams, while the DST-based scheme outperforms the others overall.

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Improved adaptive partial-matching steganography for Voice over IP

Cited by 12 publications

References 38 publications

VoIP Steganography Methods, a Survey

VoIP Steganography Methods, a Survey

Coverless VoIP Steganography Using Hash and Hash

Detecting Steganography of Adaptive Multirate Speech with Unknown Embedding Rate

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