ARP欺骗攻击的整网解决方案研究

随着各种病毒与木马程序的泛滥,ARP欺骗攻击在校园网中已经成为危害网络正常稳定运行的主要问题.本文在对ARP协议进行深入分析的基础上,提出一种全网设备联动实现整体防御ARP欺骗的可行方案.     

影响无线寻呼台正常运行的几个问题及其对策

对影响寻呼台正常运行的几个主要问题，从无线发射系统和计算机网络两个方面进行了探讨和分析，并介绍了相应的解决方法。     

波浪演示器的研究与设计

介绍了作者研制的波浪演示器.该演示器应用数字技术模拟水质点的运动,能形象演示海洋XOZ剖面上波浪的形成与传播.文中还讨论了RISC技术和非程序存储式体系结构在设计中的应用.     

负反馈放大电路的网络参数分析法

利用双口网络参数分析负反馈放大电路的方法．通过对典型电流串联负反馈电路的z参数分析，得到了与其它分析方法相同的结果．分析过程简洁，物理概念清晰．     

用网络拓扑分析含受控源电路的一种系统方法

通过３个实例分析，阐明用网络拓扑分析含受控源电路的一种系统方法。     

关于互联网管理与国家安全的思考

从国家安全和讲政治的角度以及目前互联网管理现状出发，分析了加强互联网管理的必要性和重要性，在此基础上探讨了公安机关参与互联网管理应注意处理的关系及管理策略．     

Samples Selection for Artificial Neural Network Training in Preliminary Structural Design

An artificial neural network (ANN) is applied in the preliminary structural design of reticulated shells. Major efforts are made to enhance the generalization ability of networks through well-selected training samples. Number-theoretic methods (NTMs) are adopted to generate samples with low discrepancy, i.e.uniformly scattered in the domain, where discrepancy is a quantitative measurement of the uniformity. The discrepancy of the NTM-based sample set is 1/6-1/7 that of samples with equal spacing. In a case study,networks trained by NTM-based samples are compared with those trained by equal-spaced samples in generalizing performance. The results show that both the computational precision and stability of the former ANNs are more satisfactory than those of the latter. It is concluded that the flexibility of ANNs in generalizing can be effectively increased by use of uniformly distributed training samples rather than simply piling data.More reliable uniformity should be obtained, however, through NTMs instead of equal-spaced samples.     

Mechanism and Defense on Malicious Code

With the explosive growth of network applications, the threat of the malicious code against network security becomes increasingly serious. In this paper we explore the mechanism of the malicious code by giving an attack model of the maliciouscode, and discuss the critical techniques of implementation and prevention against the malicious code. The remaining problems and emerging trends in this area are also addressed in the paper.     

人工神经网络紫外分光光度法同时测定苯和甲苯

应用三层ANN_BP网络解析苯和甲苯的吸收光谱 ,不经分离 ,用紫外分光光度法同时测定苯和甲苯 .使用改进的BP算法 ,避免了神经网络学习过程中可能产生的麻痹现象 ,提出了目标向量的简单变换方法及便于网络参数选择的收敛评价函数 .实验验证了方法的有效性 ,同时表明 ,苯在 0 - 72 0mg/L和甲苯在 0 - 84 0mg/L范围内服从比尔定律     

一个安全的主动网络编程语言模型

为解决主动网络安全威胁问题，从编程语言角度分析了语言级的主动网络的安全需求，使用软件机制而不是硬件机制保护主机防止恶意代码攻击，并折中了通信需求和程序语言需求，为主动网络提供了一个安全的编程语言模型。