A posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability
作者：
Highlights：
• Found and molded the relationship between the high-frequency signal of image carrier and steganalysis accuracy.
• Posterior accuracy is proposed to evaluate the real accuracy of steganalysis and it can be used to improve steganalysis performance in the actual environment, because we can find a subset with a high accuracy(such as 100%) from the prediction images which have a relatively low accuracy (such as 80%).
• Actually, the relationship between image carrier and steganalysis accuracy can even be used to improve steganography performance significantly.
摘要
•Found and molded the relationship between the high-frequency signal of image carrier and steganalysis accuracy.•Posterior accuracy is proposed to evaluate the real accuracy of steganalysis and it can be used to improve steganalysis performance in the actual environment, because we can find a subset with a high accuracy(such as 100%) from the prediction images which have a relatively low accuracy (such as 80%).•Actually, the relationship between image carrier and steganalysis accuracy can even be used to improve steganography performance significantly.
论文关键词：Steganography,Steganalysis,Carrier security,Adaptive convolution,Posterior accuracy
论文评审过程：Received 23 October 2017, Revised 15 September 2018, Accepted 7 October 2018, Available online 9 October 2018, Version of Record 17 October 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2018.10.003
