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Integration of network intrusion detection systems and honeypot networks for cloud security

机译:集成网络入侵检测系统和蜜罐网络以实现云安全

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摘要

With an aim of provisioning fast, reliable and low cost services to the users, the cloud-computing technology has progressed leaps and bounds. But, adjacent to its development is ever increasing ability of malicious users to compromise its security from outside as well as inside. The Network Intrusion Detection System (NIDS) techniques has gone a long way in detection of known and unknown attacks. The methods of detection of intrusion and deployment of NIDS in cloud environment are dependent on the type of services being rendered by the cloud. It is also important that the cloud administrator is able to determine the malicious intensions of the attackers and various methods of attack. In this paper, we carry out the integration of NIDS module and Honeypot Networks in Cloud environment with objective to mitigate the known and unknown attacks. We also propose method to generate and update signatures from information derived from the proposed integrated model. Using sandboxing environment, we perform dynamic malware analysis of binaries to derive conclusive evidence of malicious attacks.
机译:为了向用户提供快速,可靠和低成本的服务,云计算技术取得了长足的发展。但是,与其发展相邻的是,恶意用户不断增强的从内部和外部破坏其安全性的能力。网络入侵检测系统(NIDS)技术在检测已知和未知攻击方面已经走了很长一段路。在云环境中检测NIDS入侵和部署的方法取决于云提供的服务类型。云管理员能够确定攻击者的恶意意图和各种攻击方法也很重要。在本文中,我们进行了NIDS模块与Honeypot Networks在云环境中的集成,目的是减轻已知和未知的攻击。我们还提出了一种方法,该方法用于根据从建议的集成模型中获得的信息来生成和更新签名。使用沙盒环境,我们对二进制文件进行动态恶意软件分析,以得出恶意攻击的确凿证据。

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