软计算技术越来越广泛地应用于解决各领域的实际问题。文章将多种不同软计算技术的集成应用于入侵检测。由于网络攻击事件的日益增多,建立有效的入侵检测系统对保护信息安全是非常必要的,但要实现这一点仍面临巨大的挑战。分析了两种类型的软计算技术:人工神经网络和支持向量机。实验证明这两种方法的集成在入侵检测的检测精度方面要优于单一方法。 Soft computing technology is increasingly used to solve practical problems in various fields. The article will be a variety of different soft computing technology integration used in intrusion detection. Due to the increasing number of cyber attacks, establishing an effective intrusion detection system is necessary for the protection of information security, but it still faces great challenges to achieve this. Two types of soft computing techniques are analyzed: artificial neural network and support vector machine. Experiments show that the integration of these two methods is superior to the single method in the detection accuracy of intrusion detection.