文献类型：会议论文

英文题名：A Novel Robust Image-hashing Method for Content Authentication

作者：Jiang, Cuiling[1];Pang, Yilin[1];Wu, Anwen[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai, Peoples R China

会议论文集：International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec)

会议日期：NOV 16-18, 2015

会议地点：Hangzhou, PEOPLES R CHINA

语种：英文

外文关键词：image hash; genetic algorithm; BP network; discrimination

摘要：Image hash functions find extensive application in content authentication, database search, and digital forensic. This paper develops a novel robust image-hashing method based on genetic algorithm (GA) and Back Propagation (BP) Neural Network for content authentication. Lifting wavelet transform is used to extract image low frequency coefficients to create the image feature matrix. A GA-BP network model is constructed to generate image-hashing code. Experimental results demonstrate that the proposed hashing method is robust against random attack, JPEG compression, additive Gaussian noise, and so on. Receiver operating characteristics (ROC) analysis over a large image database reveals that the proposed method significantly outperforms other approaches for robust image hashing.