网络抗攻击性能的遗传投影寻踪评估模型

抗攻击测试是进行系统安全测评的重要手段之一,对网络系统的抗攻击能力进行评估是抗攻击测试需要解决的一个关键问题.根据影响网络系统的安全属性,从抗攻击测试网络系统的攻击效果和模拟攻击方的攻击代价两个方面来构建网络抗攻击性能评估指标体系,提出了网络抗攻击性能的投影寻踪评估模型,投影指标函数采用基于实数编码的加速遗传算法进行寻优.最后进行了实例验证,结果表明,该方法不仅能够对网络的抗攻击性能进行很好的评价,还能对系统抵抗不同攻击方法的能力进行排序.     

基于多视图网络三维形状检索的通用扰动攻击

几何深度学习模型在三维形状检索任务中已应用,其安全评估工作也引起了研究者们的关注.该文针对三维形状检索评估提出一种基于多视图通用扰动攻击(MvUPA)的对抗攻击方法,其具有高成功率的攻击效果.首先设计多视角深度全景图检索模型,训练适用于视图类三维形状检索的高效嵌入向量;其次,为三维形状检索提出有益于通用扰动更新的损失函...     

基于神经网络的DDoS防护绩效评估

面对日益严重的分布式拒绝服务(distributed denial of service,DDoS)攻击威胁和众多防护措施,需要防护绩效评估方法指导防护措施的选择.现有绩效评估方法通过对比防护措施部署前后的攻击效果进行评估,需对防护措施进行卸载及重新部署,实施成本高.针对这种不足,首先建立了防护绩效评估模型(defence evaluation model,DEM),该模型从用户感受角度进行指标选取,减少了传统方式下测评过程需要的指标数量,降低了数据获取的难度.利用神经网络良好的泛化能力,将其引入DDoS防护绩效评估过程;在计算已部署防护措施攻击效果的同时,预测得到未部署防护措施时的攻击效果,减少了测量次数.使用网络仿真程序SSFNet模拟典型攻击场景进行实验,验证了提出的评估方法以及神经网络的预测能力.     

基于攻击效果的WSN路由安全评估模型

为提高无线传感器网络(Wireless Sensor Networks,WSN)的路由安全评估能力,提出了一种基于攻击效果的评估模型.根据路由攻击前后网络安全性能的变化,提出了"网络安全熵"的概念,选取并简化能客观真实地反映安全性的安全评估指标,分析了网络安全熵的计算方法.其次利用Monte Carlo方法进行统计,确定节点的安全度,对安全指标进行归一化处理,通过模型观察攻击效果,评估网络的安全性,并进行安全态势预测,从而提升了WSN网络安全评估的能力,且能够为制定反击敌方的恶意攻击的策略提供依据.经过应用实例的仿真计算与分析,表明该模型能够比较合理地评估网络安全.     

基于OpenFlow的入侵检测评估模型

针对传统测评方法依赖模拟环境来仿真真实网络流量的现状,提出一种基于OpenFlow的入侵检测评估系统.该系统基于软件定义网络技术（OpenFlow）的入侵检测评估模型,随后对该模型的框架、设置方法、具体工作过程等进行详细阐述,设计了基于该模型的测评系统,该系统利用OpenFlow灵活的网络控制能力为IDS测评搭建真实可控的网络环境,提供入侵检测所需的真实网络流量和攻击数据.最后利用该测评系统对该模型进行试验仿真,实验结果表明传统方法相比,本文提出的基于OpenFlow的入侵检测评估模型在测评效果和准确性上有较好的性能.     

基于移动agent的网络攻击效果评估数据采集

计算机网络攻击效果评估技术是信息系统安全评估中一个重要而具有挑战性的课题。该文提出了一种基于移动agent的计算机网络攻击效果评估数据采集模型,由研究网络信息系统的性能入手,给出攻击效果评估指标集,研究了移动agent技术,给出了基于移动agent的计算机网络攻击效果评估数据采集系统的实现思路和相应模型的校验方法。     

粗糙集理论在网络攻击效果评估中的应用研究*

计算机网络攻击效果评估技术是信息系统安全评估中一个重要而具有挑战性的课题.进行网络攻击效果评估需要建立一套评估指标体系,针对具体的攻击,评估体系中指标的重要性各不相同.运用粗糙集理论确定各个指标之间的关系,使评估指标的权重分配赋值更加科学、合理.     

一种基于多维属性的网络攻击分类方法

本文以攻击分类的六要素为基本原则,分析总结了现有的网络攻击方法,基于自动化安全测评的需求,提出了一种基于多维属性的攻击分类基本构架.     

基于攻击图模型的多目标网络安全评估研究

为了增强网络的安全性,对网络进行安全评估,给出安全方案,提出了一种新型的基于攻击图模型的网络安全评估方法.利用攻击图模型,结合其马尔可夫链和贝叶斯网络的特性,提出了攻击可能性指标、攻击实现度指标、脆弱性程度指标和脆弱点关键度指标等4个网络安全评估的指标及其指标计算方法.并基于此,研究了一种安全评估的多目标优化方法模型.从而帮助网络安全管理员更有效地管理整个网络,提出安全增强建议.实验表明方法模型具有很好的扩展性和实用性.     

RFID系统安全与测评方法研究

随看RFID技术的发展和应用,RFID系统的安全和测评问题也逐渐显现并引起了人们的重视.根据RFID系统的构成对其面临的安全问题进行了详细分析,在此基础上研究了RFID系统的安全测评内容并构建了测评指标体系框架,然后从安全测试和安全评估角度介绍了RFID系统安全测评方法,为RFID系统安全保障提供了基础.     

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.