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随着互联网技术的飞速发展,SOA在成为当今流行的架构体系的同时,其首选的Web服务也日益成为黑客攻击的新目标。针对SOA的安全问题日益突出,现在通常使用被动的防御方式,旨在保证SOA系统的安全性,在SOA系统中,以第三代蜜网部署拓扑为基础,构建面向SOA的蜜罐系统,采用聚类算法,对系统中sebek回传的数据进行分析。本文通过搭建网络平台,对面向SOA蜜罐系统捕获到的数据,在检测率和误报率方面进行实验验证。
With the rapid development of Internet technology, SOA has become the most popular architecture system in the world at the same time, and its preferred Web service is increasingly becoming a new target of hacker attacks. SOA security issues have become increasingly prominent, and now usually use a passive defense, designed to ensure the safety of SOA systems, SOA systems, the third generation honeynet deployment topology based on the construction of SOA-oriented honeypot system, using Clustering algorithm, the data returned by the system sebek analysis. By building a network platform, this paper validates the data captured by the SOA honeypot system in terms of detection rate and false alarm rate.