KSII Transactions on Internet and Information Systems (TIIS)

  • 제12권2호
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  • Pages.662-675
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  • 2018
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Compression history detection for MP3 audio

  • Yan, Diqun (College of Information Science and Engineering, Ningbo University) ;
  • Wang, Rangding (College of Information Science and Engineering, Ningbo University) ;
  • Zhou, Jinglei (College of Information Science and Engineering, Ningbo University) ;
  • Jin, Chao (College of Information Science and Engineering, Ningbo University) ;
  • Wang, Zhifeng (College of Information Science and Engineering, Ningbo University)
  • 투고 : 2017.06.10
  • 심사 : 2017.09.21
  • 발행 : 2018.02.28
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초록

Compression history detection plays an important role in digital multimedia forensics. Most existing works, however, mainly focus on digital image and video. Additionally, the existed audio compression detection algorithms aim to detect the trace of double compression. In real forgery scenario, multiple compression is more likely to happen. In this paper, we proposed a detection algorithm to reveal the compression history for MP3 audio. The statistics of the scale factor and Huffman table index which are the parameters of MP3 codec have been extracted as the detecting features. The experimental results have shown that the proposed method can effectively identify whether the testing audio has been previously treated with single/double/triple compression.

키워드

참고문헌

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피인용 문헌

  1. AAC Double Compression Audio Detection Algorithm Based on the Difference of Scale Factor vol.9, pp.7, 2018, https://doi.org/10.3390/info9070161
  2. Cluster Flows and Multiagent Technology vol.9, pp.1, 2018, https://doi.org/10.3390/math9010022