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
相关论文
共 50 条
  • [31] A multi-purpose digital image watermarking using fractal block coding
    Kiani, Soheila
    Moghaddam, Mohsen Ebrahimi
    JOURNAL OF SYSTEMS AND SOFTWARE, 2011, 84 (09) : 1550 - 1562
  • [32] Median Filtered Image Quality Enhancement and Anti-Forensics via Variational Deconvolution
    Fan, Wei
    Wang, Kai
    Cayre, Francois
    Xiong, Zhang
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2015, 10 (05) : 1076 - 1091
  • [33] An improved median filtering anti-forensics with better image quality and forensic undetectability
    Kulbir Singh
    Ankush Kansal
    Gurinder Singh
    Multidimensional Systems and Signal Processing, 2019, 30 : 1951 - 1974
  • [34] Multiple-Operation Image Anti-Forensics with WGAN-GP Framework
    Wu, Jianyuan
    Wang, Zheng
    Zeng, Hui
    Kang, Xiangui
    2019 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2019, : 1303 - 1307
  • [35] An improved median filtering anti-forensics with better image quality and forensic undetectability
    Singh, Kulbir
    Kansal, Ankush
    Singh, Gurinder
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2019, 30 (04) : 1951 - 1974
  • [36] WND-CHARM: Multi-purpose image classification using compound image transforms
    Orlov, Nikita
    Shamir, Lior
    Macura, Tomasz
    Johnston, Josiah
    Eckley, D. Mark
    Goldberg, Ilya G.
    PATTERN RECOGNITION LETTERS, 2008, 29 (11) : 1684 - 1693
  • [37] JPEG Anti-Forensics With Improved Tradeoff Between Forensic Undetectability and Image Quality
    Fan, Wei
    Wang, Kai
    Cayre, Francois
    Xiong, Zhang
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2014, 9 (08) : 1211 - 1226
  • [38] Improved JPEG anti-forensics with better image visual quality and forensic undetectability
    Singh, Gurinder
    Singh, Kulbir
    FORENSIC SCIENCE INTERNATIONAL, 2017, 277 : 133 - 147
  • [39] A MULTI-PURPOSE OBJECTIVE QUALITY METRIC FOR IMAGE WATERMARKING
    Pankajakshan, Vinod
    Autrusseau, Florent
    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 2589 - 2592
  • [40] Anti-forensics of fake stereo audio using generative adversarial network
    Tianyun Liu
    Diqun Yan
    Nan Yan
    Gang Chen
    Multimedia Tools and Applications, 2022, 81 : 17155 - 17167