A Multi-purpose countermeasure against image anti-forensics using autoregressive model

被引:12
|
作者
Zeng, Hui [1 ,2 ]
Kang, Xiangui [1 ]
Peng, Anjie [1 ]
机构
[1] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangdong Key Lab Informat Secur Technol, Guangzhou 510006, Guangdong, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Coll Comp & Software, Jiangsu Engn Ctr Network Monitoring, Nanjing 210044, Jiangsu, Peoples R China
关键词
Autoregressive model; Counter anti-forensics; C-SVM; Image forensics; TRACES;
D O I
10.1016/j.neucom.2015.12.089
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image anti-forensics, which aims to remove or forge traces upon which image forensics is based, has made rapid progress recently. To rebuild the credibility of forensics, many countermeasures have been proposed for detecting different anti-forensics. However, most existing countermeasures just target only one type of anti-forensics and are difficult to extend to counter other anti-forensics. In this paper, a multi-purpose countermeasure using autoregressive (AR) model is proposed for detecting various anti forensics. Experimental results demonstrate that the proposed countermeasure achieves satisfactory performance in detecting all of the five well-known anti-forensic methods discussed in this paper. Even compared to the state-of-art specific counter-measures, our proposed countermeasure achieves similar or better performance. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:117 / 122
页数:6
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