自适应策略受生物免疫原理的启发，通过控制网络服务的复制、迁移和消亡来提高系统的可生存性。
Inspired by biological immune principle, adaptation policy enhances system's survivability by controlling the network services' behaviours such as clone, death, migration and so on.
这就迫切需要一种具有高生存性的，可扩展的，充分体现R PR技术优越性的网络。
One network with high survivability, expandable and fully reflect the technological superiority of RPR is in need.
网络系统的可生存性已经成为一个热门的研究主题，该研究课题的思想是要保障系统关键服务的有效性。
Survivability of network system has become a hot research topic, and the core idea of the survivability research is to provide guaranteed effectiveness to critical services of system.
可生存性是近年来网络安全领域的研究热点。
Survivability is one of research focuses of network security.
基于不同的冗余技术对网络系统进行分类并分别建立随机数学模型，提出了基于不同应用需求的可生存性的定量评估方法。
Network systems are sorted according to the redundancy techniques adapted and corresponding stochastic models are constructed, survivability based on different application requirement are evaluated.
虽然传统的安全措施提高了网络信息系统的安全性，但各种入侵事件还是不断的发生，为此必须考虑一种新的安全理念，这就是可生存性。
Though traditional security can improve network information system's security, kinds of intrusions remain as before. Then, we must consider a new security concept, and that is survivability.
该文首先分析了可生存性与传统网络安全技术的差别，并给出了生存性的基本定义，然后介绍了可生存系统设计的两种设计方法，并对两种设计方法进行了对比分析。
And then this paper gives out the definition of survivability. Next it introduces two methods of survivability system design. Finally it analyzes the differences between the two methods.
本文对下一代网络的控制层的可生存性进行研究，主要是提出一种分析系统可生存性的方法和框架。
This dissertation studies network control layer survivability, mainly brings forward a method and frame of analyzing system survivability on control layer and application layer.
网络可生存性研究已经成为网络信息安全研究的新方向。
Network survivability has become a new direction of studies on network security.
网络可生存性是网络安全研究的新方向，它突破了传统的网络安全的概念，从新的角度对网络安全问题进行研究。
As a new direction in network security, survivability is different from traditional network security, it gives a new way to research the network security.
对网络系统的生存能力进行量化评估，有助于对不同系统以及同一系统在不同环境下的可生存性做出准确的评价和比较。
Quantifying survivability of the network system helps to evaluate it exactly for either different systems or the same system in different environments.
对网络系统的生存能力进行量化评估，有助于对不同系统以及同一系统在不同环境下的可生存性做出准确的评价和比较。
Quantifying survivability of the network system helps to evaluate it exactly for either different systems or the same system in different environments.
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