Detecting Intrusion in Large Intrusion Detection Environments

Managing the high volume of alarms generated by large intrusion detection environments can be very challenging. A major problem faced by those who deploy current intrusion detection technology is the large number of false alarms generated by Intrusion Detection Sensors (IDSs), which can be well over 90 percent. In this project, techniques from data mining and web search (such as PageRank) are applied to separate the signal from noise.