Aiming to improve Internet content accessing capacity of the system, cloud proxy platforms are used to improve the visiting performance in network export environment. Limited by complexity of cloud proxy system, trustworthy guarantee of cloud system becomes a difficult problem. Considering the self-government of autonomic computing, it could enhance cloud system trustworthy and avoids system management security and reliable problems brought by complex construction. Based on the idea of self-supervisory, a mechanism to enhance security of cloud system was proposed in this paper. First, a trustworthy autonomous enhancement framework for virtual machines was proposed. Second, a method to extract linear relationship of monitoring items in the virtual machine based on ARX model was put forward. According to the mapping relation between monitoring items and system modules, an abnormal module positioning technology based on Naive Bayes classifier was developed to realize self-sensing of abnormal system conditions. Finally, security threats of virtual machines including malicious dialogue and buffer memory of hot attacks were tested through experiments. Results showed that the proposed trustworthy enhancement mechanism of virtual machines based on autonomic computing could achieve trustworthy enhancement of virtual machines effectively and provide an effective safety protection for the cloud system.

中文翻译：

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基于自主计算的云代理可信增强

为提高系统对互联网内容的访问能力，采用云代理平台提高网络出口环境下的访问性能。受限于云代理系统的复杂性，云系统的可信保证成为一个难题。考虑到自主计算的自治性，可以增强云系统的可信度，避免复杂构建带来的系统管理安全性和可靠性问题。基于自我监督的思想，本文提出了一种增强云系统安全的机制。首先，提出了一个值得信赖的虚拟机自治增强框架。其次，提出了一种基于ARX模型的虚拟机监控项线性关系提取方法。根据监控项与系统模块的映射关系，开发了一种基于朴素贝叶斯分类器的异常模块定位技术，实现系统异常状态的自感知。最后，通过实验测试了虚拟机的安全威胁，包括恶意对话和缓存热攻击。结果表明，所提出的基于自主计算的虚拟机可信增强机制能够有效实现虚拟机的可信增强，为云系统提供有效的安全保护。通过实验测试了虚拟机的安全威胁，包括恶意对话和热攻击的缓存。结果表明，所提出的基于自主计算的虚拟机可信增强机制能够有效实现虚拟机的可信增强，为云系统提供有效的安全保护。通过实验测试了虚拟机的安全威胁，包括恶意对话和热攻击的缓存。结果表明，所提出的基于自主计算的虚拟机可信增强机制能够有效实现虚拟机的可信增强，为云系统提供有效的安全保护。