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A Master-Slave Blockchain Paradigm and Application in Digital Rights Management

China Communications 2018年第8期15卷 174-188页

作者： Zhaofeng Ma Weihua Huang Wei Bi Hongmin Gao Zhen Wang School of Cyberspace Security Beijing University of Posts and TelecommunicationsBeijing 100876China Shenzhen Datong Industrial Co..Ltd Shenzhen 518000China SeeleTech corporation San Francisco94107USA zsbatech corporation Beijing 100088China

Upon flaws of current blockchain platforms of heavyweight, large capacity of ledger, and time-consuming of synchronization of data, in this paper, we proposed a new paradigm of master-slave blockchain scheme(MSB) for pervasive computing that suitable for general PC, mobile device such as smart phones or PADs to participants in the working of mining and verification, in which we separated traditional blockchain model in 2 layer defined as master node layer and a series of slavery agents layer, then we proposed 2 approaches for partially computing model(PCM) and non-computing of model(NCM) in the MSB blockchain, Finally large amounts of simulations manifest the proposed master-slave blockchain scheme is feasible, extendible and suitable for pervasive computing especially in the 5 G generation environment, and can apply in the DRM-related applications.

关键词： master-slave blockchain proof ofequivalent work proof of contribution pervasive computing DRM application

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(k, n) halftone visual cryptography based on Shamir＇ s secret sharing

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The Journal of China Universities of Posts and Telecommunications 2018年第2期25卷 60-76页

作者： Ding Haiyang Li Zichen Bi Wei College of Information Engineering Beijing Institute of Graphic Communication Beijing 102600 China Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China Seele Tech corporation San Francisco 94107 USA zsbatech corporation Beijing 100088 China

（k, n） halftone visual cryptography （HVC） is proposed based on Shamir＇ s secret sharing （HVCSSS）, and through this method a binary secret image can be hided into n halftone images, and the secret image can be revealed from any k halftone images. Firstly, using Shamir＇ s secret sharing, a binary secret image can be shared into n meaningless shares; secondly, hiding n shares into n halftone images through self-hiding method; and then n extracted shares can be obtained from n halftone images through self-decrypt method; finally, picking any k shares from n extracted shares, the secret image can be revealed by using Lagrange interpolation. The main contribution is that applying Shamir＇ s secret sharing to realize a （k, n） HVC, and this method neither requires code book nor suffers from pixel expansion. Experimental results show HVCSSS can realize a （k, n） HVC in gray-scale and color halftone images, and correct decoding rate （CDR） of revealed secret image can be guaranteed.

关键词： Shamir' s secret sharing (k,n) VC self-hiding self-deerypt Lagrange interpolation

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A Novel Universal Steganalysis Algorithm Based on the IQM and the SRM

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Computers, Materials & Continua 2018年第8期56卷 261-272页

作者： Yu Yang Yuwei Chen Yuling Chen Wei Bi Information Security Center Beijing University of Posts and TelecommunicationsBeijing100876China Guizhou Provincial Key Laboratory of Public Big Data Guizhou UniversityGuiyangGuizhou550025China SeeleTech corporation San Francisco94107USA zsbatech corporation Beijing100088China

The state-of-the-art universal steganalysis method,spatial rich model(SRM),and the steganalysis method using image quality metrics(IQM)are both based on image residuals,while they use 34671 and 10 features *** paper proposes a novel steganalysis scheme that combines their advantages in two ***,filters used in the IQM are designed according to the models of the SRM owning to their strong abilities for detecting the content adaptive steganographic *** addition,a total variant(TV)filter is also used due to its good performance of preserving image edge properties during ***,due to each type of these filters having own advantages,the multiple filters are used simultaneously and the features extracted from their outputs are combined *** whole steganalysis procedure is removing steganographic noise using those filters,then measuring the distances between images and their filtered version with the image quality metrics,and last feeding these metrics as features to build a steganalyzer using either an ensemble classifier or a support vector *** scheme can work in two modes,the single filter mode using 9 features,and the multi-filter mode using 639 *** compared the performance of the proposed method,the SRM and the *** maxSRMd2 is the improved version of the *** simulated results show that the proposed method that worked in the multi-filter mode was about 10%more accurate than the SRM and maxSRMd2 when the data were globally normalized,and had similar performance with the SRM and maxSRMd2 when the data were locally normalized.

关键词： Image steganalysis IQM,SRM total variation universal image steganalysis

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