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First step towards preserving the privacy of cloud-based IDS security policies

机译:维护基于云的IDS安全策略的隐私的第一步

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摘要

Traditional intrusion detection systems, managed by organizations themselves, have already evolved towards cloud architectures. While benefitting from all the advantages of the cloud computing paradigm, they are also suffering from one of its main drawbacks-privacy issues. As intrusion detection system security policies expose critical information regarding the organization such as vulnerabilities, sharing this information with cloud service providers raises serious privacy concerns. The following paper proposes and presents three novel solutions as a first step towards preserving the privacy of cloud-based intrusion detection system security policies. All the solutions utilize hybrid cloud architecture, as this is a leading trend in the cloud-based intrusion detection systems market, and share the concept of performing the most computationally expensive operations, which are pattern-matching operations, in the public cloud. By taking the final decision regarding network packets in the private cloud on customer premises, the desired level of privacy is provided. Experimental results, received as an output from the performed simulations, confirm that all the presented solutions are efficient enough for the deployment of cloud-based intrusion detection systems. Copyright (C) 2015 John Wiley & Sons, Ltd.
机译:由组织自己管理的传统入侵检测系统已经向云架构发展。尽管受益于云计算范例的所有优势,但它们也遭受了其主要缺点之一(隐私问题)的困扰。由于入侵检测系统安全策略会公开有关组织的关键信息(例如漏洞),因此与云服务提供商共享此信息会引起严重的隐私问题。下面的论文提出并提出了三种新颖的解决方案,作为保护基于云的入侵检测系统安全策略的隐私的第一步。所有解决方案均采用混合云架构,因为这是基于云的入侵检测系统市场的领先趋势,并且共享在公共云中执行计算量最大的操作(即模式匹配操作)的概念。通过做出有关客户场所私有云中网络数据包的最终决定,可以提供所需的隐私级别。从执行的模拟中获得的输出作为实验结果,证实了所有提出的解决方案对于部署基于云的入侵检测系统都足够有效。版权所有(C)2015 John Wiley&Sons,Ltd.

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