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Advanced mobile agent security models for code integrity and malicious availability check

机译:用于代码完整性和恶意可用性检查的高级移动代理安全模型

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Mobile agent technology is an emerging paradigm in distributed computing environment and it holds a potential status in the relevant research field due to its unique capabilities like flexibility, dynamic customization and robust interaction in unreliable networks. But the limited security perspectives and shortfalls of the mobile agent environments degrade its usage in a variety of application domains. Even though some of the protection models are available for protecting the environments, they are not efficient in handling the security issues. To make the mobile agent environment secure, this paper proposed advanced models to improve the efficiency of the existing Malicious Identification Police model for scanning the incoming agent to detect the malicious activities and to overcome the availability of vulnerabilities in the existing Root Canal algorithm for code integrity checks. The MIP model is extended with the policy to differentiate the agent owners in the distributed environment and the Root Canal algorithm is improved as extended Root Canal algorithm. The experimental results of the advanced models show that though these mechanisms take more time complexity than the existing malicious identification police model and Root Canal model, these models are efficient in protecting the agent code integrity and scanning the agent for malicious activities. Also the new models possess less time complexity compared to the other related existing models in the secure mobile agent environment.
机译:移动代理技术是分布式计算环境中的新兴范例,由于其独特的功能(如灵活性,动态定制和不可靠网络中的强大交互),它在相关研究领域中具有潜在的地位。但是,有限的安全性观点和移动代理环境的不足降低了其在各种应用程序域中的使用率。尽管某些保护模型可用于保护环境,但它们在处理安全性问题方面效率不高。为了确保移动代理环境的安全,本文提出了高级模型,以提高现有的恶意身份识别警察模型的效率,该模型可扫描传入代理以检测恶意活动,并克服现有Root Canal算法中漏洞的可用性以实现代码完整性检查。 MIP模型通过策略来扩展,以区分分布式环境中的代理所有者,并且根运河算法作为扩展的根运河算法得到了改进。高级模型的实验结果表明,尽管这些机制比现有的恶意身份识别策略模型和Root Canal模型花费更多的时间复杂性,但是这些模型在保护代理代码完整性和扫描代理是否存在恶意活动方面是有效的。与安全移动代理环境中的其他相关现有模型相比,新模型还具有较少的时间复杂性。

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