摘要
分析原有k-means聚类算法在异常检测应用中的不足,并对其进行优化,将优化后的聚类算法应用到异常检测中.实验表明,优化后的算法在入侵检测率和抗干扰能力方面有很大的提高.
By analyzing the deficiency of the original k-means algorithm in intrusion detection, the k-means algorithm was optimized. The optimized algorithm was used in anomaly detection. Experiments show that the optimized algorithm can get better cluster result and progress was made in the rate of intrusion detection and anti-interference technique.
出处
《淮北师范大学学报（自然科学版）》
CAS
2013年第4期52-55,共4页
Journal of Huaibei Normal University：Natural Sciences
基金
淮北市科技局基金项目(20120308)
