基于隐私保护的数字图像取证外包技术框架研究

冯丙文; 翁健; 卢伟

doi:10.11959/j.issn.2096-109x.2016.00085

您当前的位置：

首页 >

文章列表页 >

基于隐私保护的数字图像取证外包技术框架研究

学术论文 | 更新时间：2024-06-03

- 基于隐私保护的数字图像取证外包技术框架研究
- Research on outsourcing of digital image forensics based on privacy preserving
- 网络与信息安全学报 2016年2卷第8期页码：23-31
- 作者机构：
  
  1. 暨南大学网络空间安全学院，广东广州 510632
  2. 中山大学数据科学与计算机学院，广东广州 510006
- 作者简介：
  
  [ "冯丙文（1985-），男，山东东营人，博士，暨南大学讲师，主要研究方向为多媒体安全与数字取证。" ]
  [ "翁健（1976-），男，广东茂名人，博士，暨南大学教授、博士生导师，主要研究方向为密码学与信息安全。" ]
  [ "卢伟（1979-），男，河南南阳人，中山大学副教授、硕士生导师，主要研究方向为多媒体信息安全和数字取证。" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2016.00085
  中图分类号： TP302
- 网络首发：2016-08，
  
  纸质出版：2016-08-15
- 稿件说明：
移动端阅览
冯丙文, 翁健, 卢伟. 基于隐私保护的数字图像取证外包技术框架研究[J]. 网络与信息安全学报, 2016,2(8):23-31.

Bing-wen FENG, Jian WENG, Wei LU. Research on outsourcing of digital image forensics based on privacy preserving[J]. Journal of network and information security, 2016, 2(8): 23-31.
冯丙文, 翁健, 卢伟. 基于隐私保护的数字图像取证外包技术框架研究[J]. 网络与信息安全学报, 2016,2(8):23-31. DOI： 10.11959/j.issn.2096-109x.2016.00085.

Bing-wen FENG, Jian WENG, Wei LU. Research on outsourcing of digital image forensics based on privacy preserving[J]. Journal of network and information security, 2016, 2(8): 23-31. DOI： 10.11959/j.issn.2096-109x.2016.00085.

摘要

将数字取证服务外包给云有利于满足公众和各类机构的鉴别服务需求，也是数字取证技术发展的必然。然而这也带来了隐私泄露的风险。在已有的相关领域的研究基础上，给出了具有隐私保护能力的数字图像取证云平台的系统框架，并对Copy-move检测、图像来源鉴别和基于自然图像统计特性的篡改检测3种数字图像取证技术给出了隐私保护实现框架，进而探讨了隐私保护的数字图像取证可能的发展方向。

Abstract

The rapid growth of digital image forensics calls for outsourcing digital forensics services to the cloud.It meets the requirement of image content authentication from both the public and organizations.However

it also brings the privacy concerns over the abuse of sensitive information.Based on the research in related fields

a digital forensics cloud platform with privacy preservation was presented.Furthermore

privacy-preserving outsourcing of three types of digital forensics methods

including copy-move detection

source identification and natural image sta-tistic-based tamper detection

were designed.Various future research directions were also discussed.

关键词

Keywords

references

WANG W , DONG J , TAN T , et al A survey of passive image tampering detection [C ] // International Workshop on Digital Watermarking (Iwdw 2009) . c2009 : 308 - 322 .

VERDOLIVA L . Handbook of digital forensics of multimedia data and devices [J ] . IEEE Signal Processing Magazine , 2016 , 33 ( 1 ): 164 - 165 .

杨帅锋 , 肖俊芳 , 江浩 , 等 . 世界网络安全发展特征与趋势 [M ] // 世界网络安全发展报告(2014～2015) . 北京 : 社会科学文献出版社 , 2015 : 21 - 42 .

YANG S F , XIAO J F , JIANG H , et al . Characteristics and trends of the development of the network security in the world [M ] // World Development Report On Network Security . Beijing : Social Sci-ences Academic Press , 2015 : 21 - 42 .

QIN Z , YAN J , REN K , et al . Towards efficient privacy-preserving image feature extraction in cloud computing [C ] // The 22nd ACM International Conference on Multimedia . c2014 : 497 - 506 .

HU S , WANG Q , WANG J , et al . Securing SIFT:privacy- preserv-ing outsourcing computation of feature extractions over encrypted image data [J ] . IEEE Transactions Image Process , 2016 .

QIN Z , YAN J , REN K , et al . Private image computation:the case of cloud based privacy-preserving SIFT [C ] // IEEE Conference on Computer Communications Workshops (Infocom WKSHPS) . c2014 . 179 - 180 .

ZHENG P , HUANG J . Discrete wavelet transform and data expan-sion reduction in homomorphic encrypted domain [J ] . IEEE Trans-actions on Image Processing , 2013 , 22 ( 6 ): 2455 - 2468 .

SAGHAIAN-NEJAD-ESFAHANI S M , LUO Y , SEN-CHING S C . Privacy protected image denoising with secret shares [C ] // The 19th IEEE International Conference on Image Processing . c2012 : 253 - 256 .

HU X , ZHANG W , HU H , et al . Non-local denoising in encrypted images [C ] // The International Conference on Internet of Vehicles . c2014 . 386 - 395 .

QIN Z , YAN J , REN K , et al . Privacy-preserving outsourcing of image global feature detection [C ] // 2014 IEEE Global Communica-tions Conference . c2014 : 710 - 715 .

SADEGHI A R , SCHNEIDER T , WEHRENBERG I . Efficient privacy-preserving face recognition [C ] // The International Confer-ence on Information Security and Cryptology . c2009 : 229 - 244 .

XIA Z , ZHU Y , SUN X , et al . Towards privacy-preserving con-tent-based image retrieval in cloud computing [J ] . IEEE:Transac-tions on Cloud Computing , 2015 .

WANG Q , HU S , REN K , et al . Cloudbi:practical pri-vacy-preserving outsourcing of biometric identification in the cloud [C ] // European Symposium on Research in Computer Security . c2015 : 186 - 205 .

BARNI M , BIANCHI T , CATALANO D , et al . Privacy-preserving fingercode authentication [C ] // The 12th ACM Workshop on Multi-media and Security . c2010 : 231 - 240 .

OSADCHY M , PINKAS B , JARROUS A , et al . Scifi-a system for secure face identification [C ] // 2010 IEEE Symposium on Security and Privacy . c2010 : 239 - 254 .

PETER A , HARTMANN T , MÜller S , et al . Privacy-preserving architecture for forensic image recognition [C ] // IEEE International Workshop on Information Forensics and Security (WIFS) . c2012 : 79 - 84 .

RAHULAMATHAVAN Y , PHAN R C W , VELURU S , et al . Pri-vacy-preserving multi-class support vector machine for outsourcing the data classification in cloud [J ] . IEEE Transactions on Depend-able and Secure Computing , 2014 , 11 ( 5 ): 467 - 479 .

VAIDYA J , SHAFIQ B , FAN W , et al . A random decision tree framework for privacy-preserving data mining [J ] . IEEE Transac-tions on Dependable and Secure Computing , 2014 , 11 ( 5 ): 399 - 411 .

YUAN J , YU S . Privacy preserving back-propagation neural network learning made practical with cloud computing [J ] . IEEE Transactions on Parallel and Distributed Systems , 2014 , 25 ( 1 ): 212 - 221 .

FONTANI M , BIANCHI T , ROSA D A , et al . A framework for decision fusion in image forensics based on dempster–shafer theory of evidence [J ] . IEEE Transactions on Information Forensics＆Se-curity , 2013 , 8 ( 4 ): 593 - 607 .

COZZOLINO D , GRAGNANIELLO D , VERDOLIVA L . A novel framework for image forgery localization [J ] . Computer Science , 2013 .

GABORINI L , BESTAGINI P , MILANI S , et al . Multi-clue image tampering localization [C ] // IEEE International Workshop on Infor-mation Forensics＆Security,IEEE . 2014 : 125 - 130 .

LOWE D G . Distinctive image features from scale-invariant key-points [J ] . International Journal of Computer Vision , 2004 , 60 ( 60 ): 91 - 110 .

PAN X , LYU S . Region duplication detection using image feature matching [J ] . IEEE Transactions on Information Forensics and Se-curity , 2010 , 5 ( 4 ): 857 - 867 .

CHRISTLEIN V , RIESS C , JORDAN J , et al . An evaluation of popular copy-move forgery detection approaches [J ] . IEEE Transac-tions on Information Forensics＆Security , 2012 , 7 ( 6 ): 1841 - 1854 .

HSU C Y , LU C S , PEI S C . A robust and efficient anony-mous authentication protocol in VANET [J ] . IEEE Transactions on Image Processing , 2012 , 21 ( 11 ): 4593 - 4607 .

PAILLIER P , POINTCHEVAL D . Efficient public-key cryptosys-tems provably secure against active adversaries [C ] // International Conference on the Theory and Application of Cryptology and In-formation Security . c1999 : 165 - 179 .

BRAKERSKI Z , VAIKUNTANATHAN V . Fully homomorphic encryption from ring-LWE and security for key dependent mes-sages [C ] // Annual Cryptology Conference . c2011 : 505 - 524 .

LU W , VARNA A L , SWAMINATHAN A , et al . Secure image retrieval through feature protection [C ] // IEEE International Confer-ence on Acoustics . c2009 : 1533 - 1536 .

RANE , SHANTANU . Privacy-preserving nearest neighbor meth-ods [J ] . IEEE Signal Processing Magazine , 2013 , 30 ( 2 ): 18 - 28 .

JOHNSON W B , LINDENSTRAUSS J . Extensions of Lipschitz mappings into a Hilbert space [J ] . Contemporary Mathematics , 1984 , 26 ( 1 ): 189 - 206 .

ANDONI A , INDYK P , ZHU H , et al . Near-optimal hashing algorithms for ap-proximate nearest neighbor in high dimensions. [J ] . Foundations of Computer Science Annual Symposium on , 2006 , 51 ( 1 ): 117 - 122 .

BOUFOUNOS P , RANE S . Secure binary embeddings for privacy preserving nearest neighbors [C ] // IEEE International Workshop on Information Forensics and Security (WIFS) . c2011 : 1 - 6 .

LI J , LI X , YANG B , et al . Segmentation-based image copy-move forgery detection scheme [J ] . IEEE Transactions on Information Forensics＆Security , 2015 , 10 ( 3 ): 507 - 518 .

PUN C M , YUAN X C , BI X L . Image forgery detection using adaptive over-segmentation and feature points matching [J ] . IEEE Transactions on Information Forensics＆Security , 2015 , 10 : 1 .

YU B , LI Z , BO C , et al . Surf feature extraction in encrypted do-main [C ] // IEEE International Conference on Multimedia and Expo . c2014 : 1 - 6 .

LUKAS J , FRIDRICH J , GOLJAN M . Digital camera identifica-tion from sensor pattern noise [J ] . IEEE Transactions on Information Forensics and Security , 2006 , 1 ( 2 ): 205 - 214 .

STAMM M C , WU M , LIU K J R . Information forensics:an over-view of the first decade [J ] . Access IEEE , 2013 , 1 : 167 - 200 .

ATALLAH M J , KERSCHBAUM F , DU W . Secure and private sequence comparisons [C ] // The ACM Workshop on Privacy in the Electronic Society(WPES'03) . c2003 : 39 - 44 .

HE Z , LU W , SUN W , et al . Digital image splicing detection based on Markov features in DCT and DWT domain [J ] . Pattern Recogni-tion , 2012 , 45 ( 12 ): 4292 - 4299 .

NG T T , CHANG S F , SUN Q . Blind detection of photomontage using higher order statistics [C ] // IEEE International Symposium on Circuits and Systems . c2004 .

QIU X , LI H , LUO W , et al . A universal image forensic strategy based on steganalytic model [C ] // The 2nd ACM Workshop on In-formation Hiding and Multimedia Security . c2014 : 165 - 170 .

BIANCHI T , PIVA A , BARNI M . On the implementation of the discrete Fourier transform in the encrypted domain [J ] . IEEE Trans-actions on Information Forensics＆Security , 2009 , 4 ( 1 ): 86 - 97 .

BIANCHI T , PIVA A , BARNI M . Encrypted domain DCT based on homomorphic cryptosystems [J ] . Eurasip Journal on Information Security , 2009 , 2009 ( 2 ): 1 - 12 .

YU H , JIANG X , VAIDYA J . Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data [C ] // ACM Sym-posium on Applied Computing , c2006 : 603 - 610 .

MANGASARIAN O L , WILD E W . Privacy-preserving classifica-tion of horizontally partitioned data via random kernels [C ] // Inter-national Conference on Data Mining , Las Vegas . c2008 .

VAIDYA J , YU H , JIANG X . Privacy-preserving SVM classifica-tion [J ] . Knowledge＆Information Systems , 2008 , 14 ( 2 ): 161 - 178 .

LIU X , CHOO R , DENG R , et al . Efficient and privacy-preserving outsourced calculation of rational numbers [J ] . IEEE Transactions on Dependable＆Secure Computing , 2016 : 1 - 1 .

LIU X , DENG R , DING W , et al . Privacy-preserving outsourced calculation on floating point numbers [J ] . IEEE Transactions on In-formation Forensics＆Security , 2016 : 1 - 1 .

浏览量

3365

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

云计算中图像数据处理的隐私保护

智能电网中隐私保护的多维多函数数据聚合方案

激励驱动的联邦学习研究综述：隐私与安全

基于哈夫曼的k-匿名模型隐私保护数据压缩方案

云计算多授权中心CP-ABE代理重加密方案