公钥基础设施的多路径构造方法

现有的证书路径构造方法不能进行多路径的构造。文中提出了一个多路径构造方法，该方法通过CA之间传播路径构造请求信息从而构造出所有的证书路径。同时，采用该方法能够方便地在路径构造的过程中进行路径验证，从而提高了路径处理的效率。     

基于依赖图信任模型的证书路径构造方法

在现行PKI信任模型的证书路径构造方案中,层次模型证书路径构造对根节点安全性依赖过高,而网状模型路径构造时存在回路。针对上述问题,提出一种新的依赖图信任模型,证明依赖图节点之间有多条路径且没有回路,给出新模型下的证书路径构造方法。实验结果表明,新模型的证书路径构造效率等同于层次模型,安全性与网状模型相近。     

基于代理机制的交叉认证模型研究

在研究了通用交叉认证模型的基础上,针对网状信任模型路径构造复杂问题,提出了基于引入代理机制的互操作模型,在不使用第三方的情况下实现了网状模型和树状层次模型的互连,在一定程度上弥补了桥接认证中心（CA）的不足。采用分段的多路径证书路径构造方法,提高了路径构造效率,并通过例子对路径构造算法的效率进行了分析验证。     

无证书消息可恢复签名

针对具有特定性质无证书数字签名的构造问题,研究无证书消息可恢复签名的构造方法。通过分析无证书数字签名的特点以及消息可恢复签名的性质,在无证书公钥系统中实现第1个无证书消息可恢复签名方案,把基于离散对数的知识签名作为工具,在随机预言机模型下证明该签名方案的安全性是基于DL困难性假设的。     

数字签名技术中混沌哈希函数的构造与分析

为了解决现有的基于混沌的Hash函数构造方法中存在的问题,提高Hash函数的性能,提出了一种用于数字签名技术的时空混沌Hash函数构造方法。该方法将交叉耦合映象格子和扩展帐篷映射相结合的混沌系统作为主模块,并利用logistic映射构造密钥生成器。实验表明,该方案很好地达到了Hash函数的各项性能要求,安全性能良好,执行效率高,并具有可扩展性,具有成为一种安全实用的单向Hash函数的潜力。     

一种构造自愿计算网络的新方法

虽然Peer-to-Peer结构的可扩展性已经成为普遍的共识，但如何简单、有效地构造具有良好特性的P2P计算网络仍然是一个开放问题。本文提出了一个自组织的Peer-to-Peer重叠计算网络的构造方法以及基于该网络的计算任务调度算法。仿真结果说明，本文构造的计算网络表现出明显的自组织特性，具有较好的可扩展性和自组织能力，能较好地为计算资源的调度提供支持。     

基于P2P的证书库系统设计与实现

采用P2P技术设计了一个证书库系统，与传统的采用目录服务器设计的证书库系统相比，该系统具有良好的可扩展性、健壮性、负载平衡和容灾容错等特性，解决了传统目录服务系统不易配置，出现访问瓶颈的问题。     

一种基于树结构的证书验证方法

分析了严格层次信任模型及其证书路径的特点和性质,在此基础上设计了一个基于树结构的证书验证模型。该模型利用证书路径的复用技术,并通过证书路径有效期和证书路径状态的概念,简化了证书验证的处理过程。该模型还给出了证书路径的扩展方法。     

基于SAN的高可用性网络存储解决方案

存储域网络（SAN）是一种新的网络存储体系结构,通过集中式存储管理机制较好地解决了大容量信息的传递和存储问题,具有比传统网络存储模式更好的可用性、可伸缩性和可扩展性,可以大大提高整个企业网络的性能。本文详细论述了SAN的技术特性和构造方法。     

基于逆向法和证书主体别名属性构造证书路径

用证书主体别名表示信任域内的证书路径,信任域之间的证书路径由各信任域的路径构造代理完成。在同一信任域内,通过比较目的证书主体别名中的证书路径和信任方的信任锚,信任方可以获得最短的证书路径;不同域之间的实体,通过查询路径构造代理获得域间路径,再连接域内证书主体别名中的证书路径,完成证书路径的构造。     

Reversible robust data hiding based on wavelet filters modification

Multimedia Tools and Applications - In this paper, a new robust reversible data hiding method is proposed. The method is designed based on wavelet modifications which result in a scalable data...     

Graphical and scalable multi-agent simulator for real-time pricing in electric power grid

With growing great interest in the energy problems, real-time pricing (RTP) for power systems has attracted attention in the world. In our research, a new distributed optimization method is proposed for RTP. It is based on negotiations between players (consumers, suppliers and distributors) through information networks. Then we developed a graphical and scalable multi-agent simulator for RTP which is named “RTPsim” for further investigations. RTPsim enables us to conduct numerical simulations in various conditions and various scales. This paper shows the new distributed optimization method based on negotiations, the features of our graphical and scalable RTP simulator and examples of simulation results.     

基于边界码的非Manhattan格式下的文本图象的自动区域分割方法

随着网络和通信技术的发展，电子图书馆逐渐发展为信息检索和资料提供的重要途径。非Ｍａｎｈａｔｔａｎ格式的排版方式因具有形式自由，富于变化的特点而得到越来越广的应用，但是对于非Ｍａｎｈａｔｔａｎ格式的文本图象的自动区域分割的研究还只是停留在实验的水平，迫切需求一种快速实用的自动区域分割法方法提高电子图书馆的文献录入速度 。     

Scalable representation for 3D object recognition using feature sharing and view clustering

Scalability is an important issue in object recognition as it reduces database storage and recognition time. In this paper, we propose a new scalable 3D object representation and a learning method to recognize many everyday objects. The key proposal for scalable object representation is to combine the concept of feature sharing with multi-view clustering in part-based object representation, in particular a common-frame constellation model (CFCM). In this representation scheme, we also propose a fully automatic learning method: appearance-based automatic feature clustering and sequential construction of clustered CFCMs from labeled multi-views and multiple objects. We evaluated the scalability of the proposed method to COIL-100 DB and applied the learning scheme to 112 objects with 620 training views. Experimental results show the scalable learning results in almost constant recognition performance relative to the number of objects.     

创建超大可扩展地形模型的方法

超大场景的三维地形可视化模型是虚拟现实系统平台的重要组成部分。由于地形模型的复杂性,致使计算机硬件水平一直难以满足超大规模地形模型的实时显示需求。目前的超大场景三维表现上存在数据处理速度慢,可扩展性差等问题。为此,提出了一种新的地形创建方法,该方法以许多小的地形分片为基础,采用逆时针旋转的方式拼接出超大的地形,采用矩阵的思想进行索引值搜索。实验结果表明,该方法创建的地形具有可扩展性。     

一种可提升用户匿名性的离线电子支付方案

提出一种新的具有可提升用户匿名性的离线电子支付方案。用户都可以根据交易时间、计算及通信开销，选择提高其匿名性，还可以从SA代理那里获取面额较小的电子现金用于支付，解决了电子现金的“找零”问题。与其他支付协议相比，该协议还可以恢复因计算机崩溃或文件误删而丢失的电子现金，而且能够防止重复花费、窃听、篡改和高手段的犯罪。     

Scalable video coding using motion-compensated temporal filtering and intra-band wavelet based compression

Scalable video compression is a crucial task that allows for high flexibility of video streams to different networks in various applications. Current video coding techniques exploit temporal correlation using motion-compensated predictive or filtering approaches. Particularly, motion-compensated temporal filtering (MCTF) is a useful framework for scalable video compression schemes. In this paper, we propose a new scalable video coding method that combines open-loop motion-compensated prediction with an embedded intra-band wavelet based compression. Our major objective is to provide a wavelet based video coding system that circumvents the drawbacks of conventional closed-loop prediction systems, without sacrificing compression performance. To improve the coding efficiency, we adaptively weight the target bitrate according to the temporal frame position in the temporal pyramid. Comparisons with state-of-the-art scalable video coding solutions confirm an overall coding efficiency gain of the proposed method specially at high bitrates.     

Zoning methods for handwritten character recognition: A survey

This paper presents a survey on zoning methods for handwritten character recognition. Through the analysis of the relevant literature in the field, the most valuable zoning methods are presented in terms of both topologies and membership functions. Throughout the paper, diverse zoning topologies are presented based on both static and adaptive approaches. Concerning static approaches, uniform and non-uniform zoning strategies are discussed. When adaptive zonings are considered, manual and automatic strategies for optimal zoning design are illustrated as well as the most appropriate zoning representation techniques. In addition, the role of membership functions for zoning-based classification is highlighted and the diverse approaches to membership function selection are presented. Concerning global membership functions, the paper introduces order-based approaches as well as fuzzy approaches using border-based and ranked-based fuzzy membership values. Concerning local membership functions, the recent parameter-based approaches are described, in which the optimal membership-function is selected for each zone of the zoning method. Finally, a comparative analysis on the performance of zoning methods is presented and the most interesting approaches are focused on in terms of topology design and membership function selection. A list of selected references is provided as a useful tool for interested researchers working in the field.     

基于免疫DND的IPS触发机制研究*

基于免疫DND理论,研究网络入侵防御系统的触发机制及其构建问题,提出从受害方受到的危险进行攻击的可进化分级检测与分级触发响应防御的方法。该方法为解决攻击检测中的度量问题提供了一个新的思路,且便于建立轻量级的、自适应的、分布的入侵防御系统。