扩频卷积指纹及其安全性分析

数字指纹是一种在每个数字作品拷贝中添加唯一性信息的版权保护技术.文中证明了扩频序列对组合、平均及噪声攻击具有有效的合谋容忍性质,并提出一种卷积码与扩频水印码相链接的安全指纹方法.译码方法也通过将备选子码集应用于Viterbi译码算法给予改进,进而合谋安全性和性能被分析与证明.结果表明该方法具有更短的码长和更快的叛逆者搜索性能.     

一种新的两用户合谋安全的数字指纹编码算法

运用级联码的思想提出一种新的抗合谋数字指纹编码算法及其相应的跟踪算法.编码算法中内码采用基于混沌序列的新的二用户合谋安全码,外码采用IPP码.理论分析和实验结果表明,在合谋人数为2的情况下,该算法能对非法分发者进行有效跟踪.与Boneh-Shaw的编码算法相比,在同样的错误概率下,本算法的数字指纹编码长度得到有效缩短.     

一种合谋安全的数据库指纹编码与盗版追踪算法

在将数据库作为软件产品发行的应用场合,需要有相应的安全机制对叛逆用户的盗版行为进行约束.本文提出了一种基于数字指纹的关系数据库盗版追踪解决方案.以混沌二值序列将版权水印与用户指纹组合而成数据库指纹,在密钥的控制下嵌入数据库.基于混沌二值序列的随机性进行指纹提取与叛逆追踪.方案具有较高的合谋安全性,同时降低了指纹检测与叛逆追踪的运算复杂度.文中描述了数据库指纹编码与嵌入、指纹检测与提取算法,分析了算法的鲁棒性与叛逆追踪能力,并进行了实验验证.     

一种新的加密方法及在数字数据版权保护中应用

提出了一种新的具有多个私钥的加密方法.这种加密方法的安全性有赖于有限域上分组码译码问题的困难性.根据所提的加密算法,给出了一种适用于数字数据版权盗版跟踪方案.对于每一个数字数据的合法拷贝,给出的跟踪方案都分配一个分组码的码字与该拷贝的解密软件或者相关装置相对应.所提的方案能够有效地提取与解密软件或者装置相对应的码字,并进而利用所用分组码的译码算法找到所有参与非法拷贝制作的合法授权用户,其中,假设参与数字数据非法拷贝的合法用户数不超过所用码的纠错能力.与其他已有方案相比,所提方案具有更好的性能,并且容易实现.所提加密方案的潜在应用领域包括计算机软件、视频/音频等产品的数字数据版权保护方面.     

基于Turbo码的信息隐藏技术的研究

文章首先介绍了Turbo码的编码结构和用于Turbo码迭代译码的最大后验概率译码算法;然后提出了在几种不同方案下Turbo码的信息隐藏技术,对隐藏信息前后的译码效果进行了理论分析最后通过实验对各种隐藏方案进行性能比较.     

基于Turbo码的信息隐藏技术的研究

文章首先介绍了Turbo码的编码结构和用于Turbo码迭代译码的最大后验概率译码算法;然后提出了在几种不同方案下Turbo码的信息隐藏技术,对隐藏信息前后的译码效果进行了理论分析;最后通过实验对各种隐藏方案进行性能比较。     

基于帧编码的抗CTP攻击盲指纹机制

提出了一种基于帧编码的抗剪切（Cropping）、平移（Translation）、拷贝粘贴（Pasting）攻击（CTP攻击）的盲数字指纹方案。方案通过指纹置乱、帧编码等技术处理指纹信息,增加了信息的安全性,使得同步信息与指纹绑定在一起。给出了DCT域基于图像分片的多版本嵌入及基于图像有效分片定位的提取策略。该方案不仅对CTP攻击具有很高的鲁棒性,指纹信息提取时不需要任何辅助信息,且能够有效地抵抗常规图像处理操作。     

分布式存储方案的设计与研究

针对基于纠删码的分布式存储方法中信息分割算法IDA在运算中涉及构造拆分矩阵,计算开销大,且单纯基于纠删码的方案无法确保所存储数据的完整性、机密性等特性,只能够容忍系统中存在的良性故障,无法容忍入侵者的恶意入侵.提出了分布式系统中一种基于Tomado码的浏览器-服务器工作模式的数据存储方案.在数据写入过程中通过构造编码后数据分块的Hash值级联(即数字指纹),并与每个数据分块一起分布在存储服务器集中的不同服务器中,当需要读出时对分块及数据指纹进行验证,然后利用Tomado译码方法恢复原始文件,即可实现Byzantine环境数据的完整性保护,并提高了系统的容错能力.     

一种基于纠错码的数字指纹方案

数字指纹技术是一种用来辨认非法拷贝,追踪非授权用户的新技术。它由嵌入拷贝各自不同的数据组成。现在,数字指纹已发展成为版权保护的一种重要手段。但一个问题也随之出现:对于数字指纹,可以通过比较找到它们的不同之处,于是一些用户可以通过合谋找到数字指纹的位置,更改数字指纹来隐匿自己。所以设计指纹算法的关键问题是如何防范合谋攻击。在这里,介绍了一种新的基于纠错码的数字指纹,并进一步分析了这种方案的性能。     

一种基于随机序列的数字指纹编码和跟踪算法

基于二进制随机编码技术,提出了一种简洁有效的合谋容忍数字指纹编码和跟踪算法.从理论上推导了算法的编码长度、合谋人数以及跟踪算法错误概率之间的关系,给出了错误概率界.在不同的应用场合,对于给定的任意小的错误概率,可以通过适当选取编码长度,使得在抗一定合谋攻击强度的情况下,错误概率满足应用要求.相对于已有的二进制随机编码指纹算法,在同样的错误概率下,本算法的数字指纹编码长度得到有效缩短.     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

法律信息库系统

本文分析了法律数据库的结构和特点，介绍了采用面向对象设计方法和超文本数据库技术开发和实现法律信息库系统将作为重要网络资源之一为不同用户进行法律咨询服务。     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

International Journal of Automation and Computing Table of Contents

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Information for authors

正SCIENCE CHINA Information Sciences(Sci China Inf Sci),cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China,and published by Science China Press,is committed to publishing highquality,original results of both basic and applied research in all areas of information sciences,including computer science and technology;systems science,control science and engineering(published in Issues with odd numbers);information and communication engineering;electronic science and technology(published in Issues with even numbers).Sci China Inf Sci is published monthly in both print and electronic forms.It is indexed by Academic OneFile,Astrophysics Data System(ADS),CSA,Cabells,Current Contents/Engineering,Computing and Technology,DBLP,Digital Mathematics Registry,Earthquake Engineering Abstracts,Engineering Index,Engineered Materials Abstracts,Gale,Google,INSPEC,Journal Citation Reports/Science Edition,Mathematical Reviews,OCLC,ProQuest,SCOPUS,Science Citation Index Expanded,Summon by Serial Solutions,VINITI,Zentralblatt MATH.     

Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal

正Erratum to:J Zhejiang Univ-Sci C(ComputElectron)2014 15(7):551-563doi:10.1631/jzus.C1300320The original version of this article unfortunately contained mistakes.Algorithm 6 should be as follows:Algorithm 6 FGKFCM-F clustering Input:(1)X={x_1,x_2,…,x_N},,x_iR~d,i=1,2,…,N,the dataset;(2)C,1C≤N,the number of clusters;(3)ε0,the stopping criterion;     

Journal of Zhejiang University-SCIENCE C (Computers & Electronics) Total contents

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A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.