移动云计算中一种新的基于安全代理的分布式虚拟机管理方法

Boubakeur Annane, O. Ghazali, A. Alti
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引用次数: 6

摘要

移动云计算作为一种优秀的范例,提供按需服务,而用户一旦使用它们就可以充满信心。然而,现有的云虚拟化系统在数据保护方面还不够安全,这就避免了个人和组织使用这种技术。因此,当移动用户在虚拟机中处理敏感数据时,将敏感数据迁移到云端,可能会影响敏感数据的安全性。许多研究表明,合法用户虚拟机的敏感数据可能成为恶意用户的攻击目标,从而导致虚拟机的机密性和隐私性受到侵犯。目前的方法为这个安全问题提供了各种解决方案。然而,它们也面临着许多不便,如未经授权的分布式虚拟机访问行为,以及确保分布式虚拟机之间敏感数据通信的强大保护的稳健策略。本文的目的是提出一种新的基于安全代理的方法,该方法包含三个基于安全散列DiffieHellman密钥的策略,用于用户访问控制和VM部署和通信控制管理,以防御移动云环境中的三种众所周知的攻击(共同驻留攻击,管理程序攻击和分布式攻击)。相关攻击导致不同分布式移动应用程序之间的敏感数据未经授权访问,同时使用云作为第三方共享资源。本文通过一个医疗保健案例研究说明了所提出的方法。实验结果表明,该算法具有有趣的高效防护和准确的攻击识别功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new secure proxy-based distributed virtual machines management in mobile cloud computing
The mobile cloud computing as an excellent paradigm offers on-demand services, whereas users can be confident once using them. Nevertheless, the existing cloud virtualization systems are not secure enough regarding the mediocre degree of data protection, which avoids individuals and organizations to engage with this technology. Therefore, the security of sensitive data may be affected when mobile users move it out to the cloud exactly during the processing in virtual machines (VMs). Many studies show that sensitive data of legitimate users’ VMs may be the target of malicious users, which lead to violating VMs’ confidentiality and privacy. The current approaches offer various solutions for this security issue. However, they are suffering from many inconveniences such as unauthorized distributed VM access behavior and robust strategies that ensure strong protection of communication of sensitive data among distributed VMs. The purpose of this paper is to present a new security proxy-based approach that contains three policies based on secured hashed DiffieHellman keys for user access control and VM deployment and communication control management in order to defend against three well-known attacks on the mobile cloud environment (co-resident attacks, hypervisor attacks and distributed attacks). The related attacks lead to unauthorized access to sensitive data between different distributed mobile applications while using the cloud as a third party for sharing resources. The proposed approach is illustrated using a healthcare case study. Including the experimental results that show interesting high-efficiency protection and accurate attacks identification.
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