Single Actor Pooled Steganalysis

  • Zichi Wang
  • Zhenxing QianEmail author
  • Xinpeng Zhang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 834)


This paper considers a more practical situation for pooled steganalysis that only a single actor is observed, so that the steganalyst needed to analyze the actor independently without comparing with other actors. We propose a pooled steganalysis method for this situation. For a given actor that has emitted a number of images, feature sets are extracted from each image, respectively, and then feed to a binary classifier popularly used in single object steganalysis. Combining all the results output by the classifier, a final decision is made ensemble to label the given actor as “guilty” or “innocent” with the minimal detection error. Experimental results show that the proposed method is effective for single actor pooled steganalysis.


Image Pooled steganalysis Steganography 



This work was supported by the Natural Science Foundation of China (U1736213, U1536108, 61572308, 61103181, U1636206, 61373151, and 61525203), the Natural Science Foundation of Shanghai (18ZR1427500), the Shanghai Dawn Scholar Plan (14SG36), and the Shanghai Excellent Academic Leader Plan (16XD1401200).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Communication and Information EngineeringShanghai UniversityShanghaiChina

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