策略路由的基本关系及其测试

边界网关协议 (BGP-4 )支持的策略路由在互联网运行效率和安全方面发挥着重要作用 ,并直接涉及经济利益问题。为了对其进行测试 ,首先讨论了策略路由中所涉及的服务提供者与客户之间的基本关系 ;在分析路由属性与路由策略等概念的基础上 ,定义了路由行为与策略的一致性关系及两类违反一致性的情况。为了获得较好的测试效果 ,在测试手段上综合使用了主动的测试方法和被动的测试方法。这些技术和方法的正确性、有效性在实际测试活动中得以证实 ,并为网络的运行、管理提供了有益的指导     

基于最大相关法的图像阈值分割

提出了一种基于最大相关准则的图像阈值分割法．该算法比基于最大熵原理的图像分割法更简便．另外，本文采用遗传算法搜索最佳闽值，并对算法中的交叉算子和有关运行参数进行了改进．实验结果证明了该算法的快速性、有效性和稳定性．     

A Micro-Payment Based Isolation of Misbehavior Secure Routing for Sensor Network

In this paper, we present a Micro-payment based Isolation of Misbehavior(MIM) secure routing protocol. The protocol contains three parts: micro-payment scheme, routing discovery and malicious nodes detection. The micro-payment scheme proposed in MIM is the first virtual currency system that can be suit for sensor network environment. Based on thc micro-payment scheme, we device an energy aware routing protocol, which forwards packets by auction. Furthermore, the base station can detect and isolate misbehave or non cooperate nodes according to the routing information.     

Mlgebraic Attack on Filter-Combiner Model Keystream Generators

Algebraic attack was applied to attack Filter-Combiner model keystream generators. We proposed thetechnique of function composition to improve the model, and the improved model can resist the algebraic attack. A new criterion for designing Filter-Combiner model was also proposed: the total length L of Linear Finite State Machines used in the model should be large enough and the degree d of Filter-Combiner function should be approximate [L/2].     

遗传算法在系统辨识中的应用

对遗传算法的机理和实现步骤进行了介绍,综述了遗传算法在系统辨识中的应用.针对不同的辨识模型,讨论了遗传算法不同的应用形式,研究了遗传算法结合神经网络技术在系统辨识中的应用,最后探讨了遗传算法在系统辨识中的研究方向.     

一种高效的多维数据包分类算法

介绍了数据包分类算法的基本思想及一种包分类算法解决方案的评价原则，在现有的ABV算法的基础上，对该算法进行了分析，提出了一种新的改进方案，并对该改进方案进行了性能分析。     

A RBF Network Learning Scheme Using Immune Algorithm Based on Information Entropy

A hybrid learning method combining immune algorithm and least square method is proposed to design the radial basis function(RBF) networks. The immune algorithm based on information entropy is used to determine the structure and parameters of RBF nonlinear hidden layer, and weights of RBF linear output layer are computed with least square method. By introducing the diversity control and immune memory mechanism, the algorithm improves the efficiency and overcomes the immature problem in genetic algorithm. Computer simulations demonstrate that the RBF networks designed in this method have fast convergence speed with good performances.     

Reliability Analysis of Sensor Networks

To Integrate the capacity of sensing, communication, computing, and actuating, one of the compelling technological advances of these years has been the appearance of distributed wireless sensor network （DSN） for information gathering tasks. In order to save the energy, multi-hop routing between the sensor nodes and the sink node is necessary because of limited resource. In addition, the unpredictable conditional factors make the sensor nodes unreliable. In this paper, the reliability of routing designed for sensor network and some dependability issues of DSN, such as MTTF （mean time to failure） and the probability of connectivity between the sensor nodes and the sink node are analyzed. Unfortunately, we could not obtain the accurate result for the arbitrary network topology, which is # P-hard problem. And the reliability analysis of restricted topologies clustering-based is given. The method proposed in this paper will show us a constructive idea about how to place energyconstrained sensor nodes in the network efficiently from the prospective of reliability.     

路由器OSPF协议的扩展

阐述了路由器中OSPF协议的扩展，通过对QoS路由表算法的描述，分析了算法的合理性和可行性以及适用的范围。     

TTCAN协议的分析与展望

TTCAN是一种基于CAN总线充分利用时间触发与事件触发两种机制优点的新型协议，其具有带宽利用率高、通讯延时低以及消息传输可管理等特点，对于分布式硬实时系统的应用以及解决网络控制系统中消息延时具有重大的意义．本文旨在对TTCAN协议进行详细分析，并指出了进一步研究的方向和发展前景．