ID 原文 译文
4783 为保证区域网被入侵时，系统仍然能为合法用户提供正常服务，设计了一种有限自动机入侵容忍模型。 To ensure that the system could still provide normal service for legitimate users when the LAN being invaded,a finite automaton intrusion tolerance model was designed.
4784 该模型在马尔可夫的理论基础上，通过建立状态转移概率矩阵来描述系统提供服务的状态变换关系，将转移状态进行量化求解，发现系统中关键结点。 Based on Markov's theory, the state transformation relation-ship of the service provided by the system by establishing the state transition probability matrix was described, quantified the transition state and found the key nodes in the system.
4785 通过对关键结点的维护可以增强系统的容忍能力和提高服务的可靠性。 The maintenance of key nodes could enhance the tolerance of the system and improve the reliability of the service.
4786 实验对比表明，该模型不但具备很强的入侵容忍能力，在保障系统受到入侵时的完整性也具有明显优势。 Experimental comparison shows that this model not only has strong intrusion tolerance, but also has obvious advantages in the integrity of the security system when it is invaded.
4787 为减轻云环境下同驻攻击的危害，提出了基于 Shamir 的虚拟机放置策略，并设计了与其相适应的虚拟机放置框架，通过区块链保证了所提放置策略中关键数据的安全性。 In order to alleviate the harm of co-location attack in cloud environment, a virtual machine placement strategybased on Shamir was proposed, and a virtual machine placement framework was designed. The security of key data was ensured by the blockchain in the proposed placement strategy.
4788 该虚拟机放置策略可以有效提升虚拟机的安全性和云环境的负载均衡能力，减少资源浪费。 The virtual machine placement policy could effectively improve the security of the virtual machine and the load balancing capability of the cloud environment, and reduce re-source waste.
4789 最后通过仿真实验证明了方案的有效性。 Finally, the effectiveness of the scheme is proved by simulation experiments.
4790 分类问题中的特征选择一直是一个重要而又困难的问题。 Feature selection in classification has always been an important but difficult problem.
4791 这类问题中要求特征选择算法不仅能够帮助分类器提高分类准确率，同时还要尽可能地减少冗余特征。 This kind of problem requires that feature selection algorithms can not only help classifiers to improve the classification accuracy, but also re-duce the redundant features as much as possible.
4792 因此，为了在分类问题中更好地进行特征选择，提出了一种新型的包裹式特征选择算法 XGBSFS。 Therefore, in order to solve feature selection in the classification prob-lems better, a new wrapped feature selection algorithm XGBSFS was proposed.