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HIDCC: A hybrid intrusion detection approach in cloud computing

机译:HIDCC:云计算中的混合入侵检测方法

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The rapid growth of distributed computing systems that heavily communicate and interact withrneach other has raised the importance of confrontation against cyber intruders, attackers, andrnsubversives. With respect to the emergence of cloud computing and its deployment all over thernworld, and because of its distributed and decentralized nature, a special security requirementrnis needed to protect this paradigm. Intrusion detection systems could differentiate usual andrnunusual behaviors by means of supervising, verifying, and controlling the configurations, log files,rnnetworktraffic,user activities,andeventheactions of different processesby which they could addrnnew security dimensions to the cloud computing systems. The position of the intrusion detectionrnmechanisms in cloud computing systems as well as the applied algorithms in those mechanismsrnare the 2main factors in whichmany researches have focused on. The goal of those researches isrntouncover intrusions asmuchas possible andto increase the rate andaccuracy of detections whilernreducing the false warnings. Those solutions, however,mainly have high computational loads, lowrnaccuracy, and high implementation costs. In this paper, we present a comprehensive and accuraternsolution to detect and prevent intrusions in cloud computing systems by using a hybrid method,rncalled HIDCC. The implementation results of the proposed method show that the intrusion coverage,rnintrusion detection accuracy, reliability, and availability in cloud computing systems arernconsiderably increased, and falsewarnings are significantly reduced.
机译:与彼此进行大量通信和交互的分布式计算系统的快速发展,提高了对抗网络入侵者,攻击者和颠覆性分子的重要性。关于云计算的出现及其在整个世界范围内的部署,并且由于其分布式和分散的性质,需要一种特殊的安全要求来保护这种范例。入侵检测系统可以通过监督,验证和控制配置,日志文件,网络流量,用户活动以及不同进程的动作来区分常规行为和异常行为,从而可以为云计算系统增加新的安全性维度。入侵检测机制在云计算系统中的地位以及这些机制中的应用算法是许多研究重点关注的两个主要因素。这些研究的目的是发现可能存在的入侵,并提高检测率和准确性,同时减少错误警告。但是,这些解决方案主要具有高计算量,低准确性和高实施成本。在本文中,我们提出了一种综合和准确的解决方案,即使用称为HIDCC的混合方法来检测和防止云计算系统中的入侵。所提方法的实施结果表明,云计算系统中的入侵覆盖率,入侵检测的准确性,可靠性和可用性显着提高,虚假警告明显减少。

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