Blind multi-class steganalysis system using wavelet statistics

被引：0
|
作者：
Savoldi, Antonio [1 ]
Gubian, Paolo [1 ]
机构：
[1] Univ Brescia, Dept Elect Automat, I-25121 Brescia, Italy
来源：
2007 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, VOL II, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to present an effiective multi-class steganalysis system, based on high-order wavelet statistics, capable of attributing stego images to four popular steganographic algorithms, namely F5 [15] Outguess [11], JP Hide&Seek [9], and Steghide [6]. The proposed method, based on a clustering approach, provides significantly reliable results.
引用
收藏
页码：93 / 96
页数：4
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