Intrusion Detection and Prevention using Honeypot Network for Cloud Security

Poorvika Singh Negi, A. Garg, Roshan Lal
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引用次数: 23

Abstract

With the rapid increase in the number of users, there is a rise in issues related to hardware failure, web hosting, space and memory allocation of data, which is directly or indirectly leading to the loss of data. With the objective of providing services that are reliable, fast and low in cost, we turn to cloud-computing practices. With a tremendous development in this technology, there is ever increasing chance of its security being compromised by malicious users. A way to divert malicious traffic away from systems is by using Honeypot. It is a colossal strategy that has shown signs of improvement in security of systems. Keeping in mind the various legal issues one may face while deploying Honeypot on third-party cloud vendor servers, the concept of Honeypot is implemented in a file-sharing application which is deployed on cloud server. This paper discusses the detection attacks in a cloud-based environment as well as the use of Honeypot for its security, thereby proposing a new technique to do the same.
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基于蜜罐网络的云安全入侵检测与防御
随着用户数量的迅速增加,与硬件故障、web托管、数据的空间和内存分配相关的问题也随之增多,直接或间接地导致数据的丢失。为了提供可靠、快速和低成本的服务,我们转向云计算实践。随着该技术的飞速发展,其安全性被恶意用户破坏的可能性也越来越大。将恶意流量从系统转移的一种方法是使用蜜罐。这是一项巨大的战略,在系统安全方面已经显示出改善的迹象。考虑到在第三方云服务器上部署蜜罐时可能面临的各种法律问题,蜜罐的概念是在部署在云服务器上的文件共享应用程序中实现的。本文讨论了基于云的环境下的检测攻击以及蜜罐的安全使用,从而提出了一种新的检测攻击技术。
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