网络行为建模环境的实现及网络混沌性状分析

设计并实现了一种用于网络行为研究的网络行为建模环境，将网络环境的监测功能和网络行为的分析功能相互结合，为网络系统行为的研究奠定了基础。在这一环境下，归纳了四种有普遍意义的网络突发流量模型，并用混沌分形理论中的迭代函数系统和相空间重构方法对它们进行描述、分析、计算和重构，得到了它们的分形维以及能体现网络流量行为特性的宏观参数。     

基于广义细胞自动机的网络带宽优化

Nowadays,bandwidth allocation schemes in a TCP/IP or ATM network are congestion avoidance oriented.Few scheme has taken global optimization into account,for global optimization problem can not be easily solved by conventional mathematical method due to the complexity and large-scale of massive information system,such as Internet.We present a novel bandwidth allocation scheme based on generalized cellular automaton (GCA).Firstly we introduce how to map network topology into GCA model,then we propose how cells and macro cells interact in our solution.Our simulation results show the scheme leads to global optimization rapidly.     

基于群体智能的网络信息自组织方式

We design and implement a novel information self-organization model based on Generalized Cellular Automata (GCA),to accomplish network information content self-organization employing the idea of swarm intelli-gence.Through constructing correspondent cell rules and the mapping of complex network environment to our GCA.reasonable distribution of network information from different information sources can be achieved on different notes according to dynamic variation of local network circumstances.Simulation experiment results show many advantages of our methodology over present approaches in terms of efficiency,adaptability,reliability,and easy hardware implementation.     

利用二次剩余构造的基于身份的数字签名方案

近年来,基于身份的密码学受到了广泛的关注,基于身份的密码方案大量涌现,但是其中绝大部分的方案都是基于双线性配对实现的.因此,无需配对的基于身份的密码方案一直都是密码界感兴趣的研究方向.目前,在利用二次剩余的基础上构造身份签名方案仍然是个未解决的问题,文中将通过给出一个具体的方案来解决该问题.首先给出如何有效地计算一个二次剩余的2~l次根,然后由该技巧构造一个具体的基于身份的数字签名方案.在大整数分解困难问题假设前提下,提出的方案在随机预言模型下被证明是选择消息和身份安全的.