An Anomaly Intrusion Detection Method Based on Improved K-means of Cloud Computing

摘要：

　　With the widely use of cloud computing,security issues become increasingly important.In the scene of cloud computing,traditional intrusion detection methods are not practical.In this paper,a new intrusion detection method based on improved K-means is proposed,which is designed to fit the characteristics and security requirements of cloud computing.The method provides a clustering algorithm and a distributed intrusion detection method based on it.The new method can find out known attack as well as anomaly attack in the environment of cloud computing.The result of simulate test proves that the new method can decrease the false positive and false negative rate,and accelerate the speed of intrusion detection.

关键词： anomaly intrusion detection cloud computing evolutionary algorithm k-means

作者: Xinlong Zhao Weishi Zhang

作者单位: Department of Information Science and Technology Dalian Maritime University Dalian, China

会议类型: 国际会议

会议名称: 2016 Sixth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2016)(第六届仪器测量、计算机通信与控制国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 284-288

在线出版日期: 2016-07-21（万方平台首次上网日期，不代表论文的发表时间）