A Multi-Stage Network Anomaly Detection Method for Improving Efficiency and Accuracy

• 作者: Hiroshi Tsunoda Masashi Tsuji Yoshiaki Nemoto Yuji Waizumi
• 来源期刊: 信息安全(英文)
• 学科: 医学
• 关键词: Network Anomaly Detection Timeslot-Based ANALYSIS Flow-Based ANALYSIS MULTI-STAGE Traffic ANALYSIS FLOW Reduction
• 年，卷（期）: xxaqyw_2012,（1）
• 页码范围: 18-24
• 页数: 7页
• 分类号: R73

摘要

Because of an explosive growth of the intrusions, necessity of anomaly-based Intrusion Detection Systems (IDSs) which are capable of detecting novel attacks, is increasing. Among those systems, flow-based detection systems which use a series of packets exchanged between two terminals as a unit of observation, have an advantage of being able to detect anomaly which is included in only some specific sessions. However, in large-scale networks where a large number of communications takes place, analyzing every flow is not practical. On the other hand, a timeslot-based detection systems need not to prepare a number of buffers although it is difficult to specify anomaly communications. In this paper, we propose a multi-stage anomaly detection system which is combination of timeslot-based and flow-based detectors. The proposed system can reduce the number of flows which need to be subjected to flow-based analysis but yet exhibits high detection accuracy. Through experiments using data set, we present the effectiveness of the proposed method.