网络对抗

基于HLA的网络对抗系统建模与仿真

Modeling and simulation of network confrontation system based on HLA

然后探索了利用P2P网络对抗P2P蠕虫的可能性，并提出了初步的对策。

Then , the possibility of using P2P networks to handle P2P worms is explored , and preliminary countermeasures are proposed .

依据所提出的框架，建立了网络对抗下DDoS防护体系模型。

A model of DDoS defend system is built based on the proposed frame .

最后，对C4ISR网络对抗机制间的攻防关系进行了总结。

Finally , the attack and defense relationship between C4ISR network countermeasure scheme is summarized .

为实现网络对抗中预警系统的高敏感性和协同特性，文章将基于角色的访问控制（RBAC）的思想引入到预警系统中，设计了一种新的预警协议。

By introducing the idea of Role-Based Access Control ( RBAC ) into early warning system , a new early warning protocol is designed to have high sensitive and cooperative property in network countermeasure .

介绍了HLA的基本思想，分析了网络对抗仿真系统，给出了网络对抗系统的层次模型以及基于HLA-RTI的实现方法。

The fundamental principle of HLA is introduced . The network confrontation simulation system is analyzed . The layered modl of network confrontation and the method to implement it based on HLA-RTI are given in the end .

面向网络对抗的缓冲区溢出攻击描述语言研究

Study on buffer overflow attack description language of computer network counterwork

信息网络对抗机制的攻防分析

Analysis of Attack and Defense Mechanism in Information Network War

基于计算机网络对抗的僵尸网络研究与进展

Research and development of Botnet based on computer network operations

信息网络对抗体系发展现状分析

The Analysis of The Development About Info-network Opposed System

信息网络对抗系统效能评估研究

Research on Effectiveness Evaluation of Information Network Countermeasure System

网络对抗的现状及防御抵抗

The Current Situation of Network Attack and Defense Resistance

网络对抗技术中社会工程学攻击的研究

Study on Social Engineering Attack in Network Confrontation Technology

网络对抗效能评估的指标体系研究

Study on Index System of NCM Effectiveness Evaluation

攻击、防御和它们彼此的策略构成了网络对抗。

Attack , defense and the tactics involved in them result in network conflicts .

通过物理层进行无线射频注入是实现更高层次网络对抗的基础。

Wireless RF injection through physical layer is the basis for higher layer network countermeasure .

对信息网络对抗系统评价的指标和内容进行了研究。

In this paper , we study the indexes and content of information network countermeasure system .

计算机网络对抗作为一种新型的作战手段，在未来战争中必将发挥越来越重要的作用。

Computer network countermeasures acted as a new means of warfare will play more and more important role in future war .

Botnet作为目前互联网上最具破坏性和隐蔽性的攻击手段，是网络攻防对抗中的研究热点。

Botnet is the hottest network attacking and defense topic on the internet , which is currently the most destructive and concealment means of attacking .

网络群体对抗综合评判模型定性化研究

Comprehensive evaluation model of network group countermeasure qualitative research

已有的科研成果以及人才培养的效果证明了所提出的网络信息对抗实验室建设方案是切实可行的。

The outcome of our research and the practice of student cultivation proved that the proposal is feasible .

本文根据博弈理论，以攻防双方的期望收益和行为代价为依据，结合网络攻防对抗特点，建立了动态博弈检测模型，分析了信息不对称和期望度差异对于安全检测性能的影响；

This shows the counteracting property of network security . Based on the game-theoretical method , this paper defines a dynamical detection game model , which utilities the characteristic of network attack and defense , and also take advantage of the asymmetry of information occupation ;

基于BP神经网络的信息对抗能力选优模型

Optimization Model of Information Operations Based on BP Neural Networks

基于Honeypot的网络蠕虫联动对抗技术

Association Technique Anti-worm Base on Honeypot

尽管企业保健应用的总体功效还有待验证，它们仍在迅速普及，部分原因在于，许多投资者都认为可以利用社交游戏开发商Zynga带动的社交网络热潮来对抗肥胖。

Despite questions about their overall efficacy , corporate wellness apps are proliferating in part because many investors are betting that the social-gaming wave popularized by Zynga ( ZnGa ) can be harnessed to fight obesity .

基于模糊神经网络的雷达对抗目标识别模型

Target Identification Model of Radar Countermeasure Based on Fuzzy Neural Networks

网络安全与对抗

Network Security and Countering Technology

蜜罐诱骗系统工作在严格的对抗环境当中，诱骗信息获取与入侵者的访问行为可视为网络空间的对抗博弈，故制定一种基于不完全信息动态博弈的信息获取策略选择的方法。

The honeypot system work in the strict resistance environment , decoy information acquisition and intruder 's visit behavior visible for net space resistance gambling , therefore formulates one kind information acquisition strategy choice method based on the incompletion information dynamic gambling .

你可以与电脑，一个本地的或者一个局域网络的对手进行对抗并且可以检测你的ELO等级。

You can challenge the computer , a local or a networked opponent and check your ELO level .

利用BP神经网络算法对电子对抗干扰效果进行评估，根据干扰效果评定的诸因素的隶属函数确定其隶属度，以此作为神经网络输入层数据。

The BP neural network is used in the evaluation of jamming effectiveness for electronic warfare , and the degrees of membership for jamming effectiveness ' factors are determined according to the factors ' subjection functions , so the degrees can be regarded as input data for BP neural network .