Hybrid honeypot framework for malware collection and analysis

Sanjeev Kumar, R. Sehgal, J. S. Bhatia
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引用次数: 23

Abstract

The popularity of the Internet is rising day by day, hence the security is becoming the main focused point with the advent and rising popularity of the Internet. In this paper we are proposing an integrated framework of malware collection and analysis using both of the technologies called server honeypots and client honeypots. As the server honeypots enable us to provide the deep understanding of the server side attacks whereas client honeypots enable us to provide the deep understandings of client side attacks. During our research on honeypot technologies, our main goal was to do the analysis of collected malwares from honeypots and for this we need the malwares samples from both the honeypots known as client and server honeypots. By using this integrated framework we are able to collect both types of attacks vectors. Here we are presenting malware collection and detection using both of the honeypot technologies known as client and server Honeypots. We introduce the design and implement of this system and give the results.
混合蜜罐框架的恶意软件收集和分析
互联网的普及程度日益提高,随着互联网的出现和普及,安全问题也成为人们关注的焦点。在本文中,我们提出了一个集成的恶意软件收集和分析框架,使用服务器蜜罐和客户端蜜罐两种技术。由于服务器蜜罐使我们能够深入了解服务器端攻击,而客户端蜜罐使我们能够深入了解客户端攻击。在我们对蜜罐技术的研究中,我们的主要目标是对从蜜罐中收集的恶意软件进行分析,为此我们需要来自客户端和服务器蜜罐的恶意软件样本。通过使用这个集成框架,我们能够收集两种类型的攻击向量。在这里,我们将介绍恶意软件的收集和检测,使用两种蜜罐技术,即客户端和服务器蜜罐。介绍了该系统的设计与实现,并给出了结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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