基于身份的改进门限代理重签名方案

在基于身份的代理重签名方案的基础上,提出一种无随机预言机的基于身份的双向门限代理重签名方案。在标准模型下对该方案进行安全性证明,表明该方案是健壮的,能抵抗适应性选择身份和消息攻击。系统公开参数少于标准模型下其他基于身份的门限代理重签名方案,且方案的安全性紧归约到q-SDH问题的安全性。     

标准模型下基于身份的动态门限代理签名方案

目前对于基于身份的门限代理签名方案来说,方案的安全性大多是在随机预言模型下证明的,并且这些门限代理签名方案中的代理签名密钥固定。相对而言,设计标准模型下的动态门限代理签名方案更有实际意义。针对以上两个问题,根据Paterson提出的基于身份的签名方案,利用计算Diffi}Hellman问题的困难性在标准模型下设计了一个代理签名密钥可变的动态门限代理签名方案。最后,利用双线性对技术对方案的正确性进行了严格证明,并在CDH困难假设下给出了方案安全性的详细分析过程和证明,结果表明方案是可证安全的和可靠的。     

一种标准模型下基于身份的高效门限代理签名方案*

目前对于基于身份的门限代理签名方案来说,方案的安全性大多是在随机预言模型下证明的,但随机预言机的实现方式可能会导致方案的不安全.相对而言,设计标准模型下的门限代理签名方案更有实际意义.提出一种基于身份的门限代理签名方案,利用双线性对技术对方案的正确性进行了严格证明,并在标准模型下基于计算Diffie-Hellman困难...     

标准模型下的代理签名:构造模型与证明安全性

目前已经提出的代理签名方案缺乏在完整的代理签名安全模型下证明方案的安全性.在Boldyreva等人提出的代理签名安全模型的基础上,对代理签名的可证安全模型进行详细的形式化定义,提出一种完整的代理签名可证安全模型.同时,为了展示该安全模型的有效性和可扩展性,对Paterson等人提出的标准模型下基于身份的签名方案进行扩展,提出在标准模型下基于身份的代理签名方案,并在可证安全模型下,证明新方案具有在自适应选择消息攻击下存在基于身份的代理签名不可伪造性,其安全性在标准模型下可归约于CDH问题假定.新方案与标准模型下基于公钥密码体制的代理签名方案相比,不仅增加了用户身份的概念,还具有更完备的安全性.     

标准模型下基于身份的群代理签名方案

目前已提出的群代理签名方案存在两个问题,首先缺乏在完整的群代理签名安全模型下证明方案的安全性;其次在标准模型下的群代理签名方案没有涉及到用户身份这一概念,具有一定的使用局限性.针对上述两个问题,在Boldyreva等人提出的代理签名安全模型的基础上提出一个完整的群代理签名可证安全模型,同时为了展示该安全模型的有效性,给出一个群代理签名方案的可证安全实例.该实例通过对Paterson等人提出的标准模型下基于身份的签名方案进行扩展,提出在标准模型下基于身份的群代理签名方案,并在可证安全模型下证明新方案具有在自适应选择消息攻击下存在基于身份的群代理签名不可伪造性,其安全性在标准模型下可归约于CDH问题假定.与目前已有的标准模型下基于公钥密码体制的群代理签名方案相比,该群代理签名方案增加了用户身份的概念,同时具有更完备的可证安全性.     

新的标准模型下基于身份的代理签名方案

代理签名是原始签名者将其签名能力授权给代理签名者,从而代理签名者可以代表原始签名者对指定的消息进行签名.提出了一种新的基于身份的代理签名方案,并在标准模型下证明了方案是适应性选择消息和身份攻击下签名存在性不可伪造的,其安全性基于CDH假设是困难的.与现有标准模型下基于身份的代理签名方案相比,新方案的执行效率更高.     

一种基于身份的盲代理重签名方案

基于代理重签名和盲签名,提出一种无随机预言机的基于身份的盲代理重签名方案.在标准模型下对该方案进行安全性证明,表明该方案能抵抗适应性选择身份和消息攻击.新方案具有较短的系统公开参数,并且其安全性紧归约到q-SDH假设的安全性.     

一个标准模型下基于身份的高效代理签名方案

目前对于基于身份的代理签名方案来说,方案的安全性大多是在随机预言模型下证明的,但随机预言机的实现方式可能会导致方案的不安全。相对而言,设计标准模型下的代理签名方案更有实际意义。提出了一种安全、高效的基于身份的代理签名方案,利用双线性对技术对方案的正确性进行了严格证明,并在标准模型下基于CDH困难假设给出了方案安全性的详细证明。与现有的标准模型下安全的基于身份的代理签名方案相比,该方案具有更高的效率。     

标准模型下基于身份代理盲签名方案

由于现有的基于身份代理盲签名方案要么没有得到形式化的安全证明,要么仅在随机预言（Random Oracle,RO）模型下可证明安全,提出一种标准模型下的基于身份代理盲签名方案。该方案的基本签名算法采用了Paterson等人提出的基于身份签名机制。在Paterson等人提出的标准安全模型基础上,引入代理签名敌手模型,并参考盲签名的安全模型,提出基于身份代理盲签名的标准模型。在此安全模型下,该方案被证明满足不可伪造性和盲性,具有可证明安全性。     

标准模型下基于身份的多代理多签名方案

现有基于身份的多代理多签名方案要么缺乏形式化的安全证明,要么在随机预言模型下可证明安全。但是随机预言模型依赖现实世界无法实现的随机预言机,而标准模型不采用随机预言机,能实现完全透明的安全模拟。以Paterson的签名机制为基础,该文提出一种新的基于身份多代理多签名方案,并且结合（多）代理（多）签名敌手模型和Paterson定义的标准安全模型,定义了基于身份多代理多签名的标准模型。在此模型下,新方案的安全性被规约为多项式时间敌手求解计算Diffie-Hellman问题,实现了可证明安全性。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.