网络攻防实验平台开发与实现
发布时间：2018-08-07 12:34
【摘要】：为了增强网络攻防实验训练的真实性、降低攻防训练对真实实验用机的影响和提高实验配置效率,设计并实现了基于虚拟机技术的网络攻防对抗平台。该平台采用B/S架构,通过在平台上集成虚拟机技术,快速地恢复整个实验网络系统,减少实验室配置人员的工作量,实现了攻防对抗实验模板的在线制作和发放,适用于远程教育系统。测试结果表明,该系统性能稳定,可以满足相关实验要求。
[Abstract]:In order to enhance the authenticity of the network attack and defense experiment training, reduce the influence of the attack and defense training on the real experimental machine and improve the efficiency of the experiment configuration, a network attack and defense countermeasure platform based on virtual machine technology is designed and implemented. The platform adopts B / S architecture, through integrating virtual machine technology on the platform, the whole experimental network system can be restored quickly, the workload of lab configuration can be reduced, and the online manufacture and distribution of experimental template for attack and defense confrontation can be realized. Suitable for distance education system. The test results show that the performance of the system is stable and can meet the requirements of relevant experiments.
【作者单位】： 西南科技大学计算机科学与技术学院;
【基金】：国家自然科学基金项目(61303230)
【分类号】：TP393.08
[Abstract]:In order to enhance the authenticity of the network attack and defense experiment training, reduce the influence of the attack and defense training on the real experimental machine and improve the efficiency of the experiment configuration, a network attack and defense countermeasure platform based on virtual machine technology is designed and implemented. The platform adopts B / S architecture, through integrating virtual machine technology on the platform, the whole experimental network system can be restored quickly, the workload of lab configuration can be reduced, and the online manufacture and distribution of experimental template for attack and defense confrontation can be realized. Suitable for distance education system. The test results show that the performance of the system is stable and can meet the requirements of relevant experiments.
【作者单位】： 西南科技大学计算机科学与技术学院;
【基金】：国家自然科学基金项目(61303230)
【分类号】：TP393.08
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