A Survey of Alert Fusion Techniques for Security Incident
Tianning Zang, Xiaochun Yun, Yongzheng Zhang · 2008
Security incident have been imposing tremendous threats on todaypsilas network information system. To protect this information system from the increasing threat of intrusion, various kinds of detection systems and sensors for security incident have been developed. The main disadvantages of current systems and sensors are a high false detection rate and the lack of post-incident decision support capability. To minimize these drawbacks, various alert fusion technologies have been proposed in the recent years. This paper presents a general summary of these technologies. Basic models and key technologies of alert fusion are analyzed and discussed. Moreover, important aggregation and correlation algorithms are discussed. Finally, we make concluding remarks by predicting the development tendencies of alert correlation technologies.