Title :
Fuzzy cognitive maps for decision support in an intelligent intrusion detection system
Author :
Siraj, Ambareen ; Bridges, Susan M. ; Vaughn, Rayford B.
Author_Institution :
Dept. of Comput. Sci., Mississippi State Univ., MS, USA
Abstract :
The health of a computer network needs to be assessed and protected in much the same manner as the health of a person. The task of an intrusion detection system is to protect a computer system by detecting and diagnosing attempted breaches of the integrity of the system. A robust intrusion detection system for a computer network will necessarily use multiple sensors, each providing different types of information about some aspect of the monitored system. In addition, the sensor data will often be analyzed in several different ways. We describe a decision engine for an intelligent intrusion detection system that fuses information from different intrusion detection modules using a causal knowledge based inference technique. Fuzzy cognitive maps (FCMs) and fuzzy rule-bases are used for the causal knowledge acquisition and to support the causal knowledge reasoning process
Keywords :
computer networks; decision support systems; fuzzy logic; fuzzy neural nets; inference mechanisms; knowledge acquisition; knowledge based systems; security of data; telecommunication computing; telecommunication security; causal knowledge acquisition; causal knowledge based inference; causal knowledge reasoning; computer network; data analysis; decision support systems; fuzzy cognitive maps; fuzzy rule-bases; intrusion detection system; multiple sensors; system integrity; Computer networks; Computerized monitoring; Engines; Fuzzy cognitive maps; Intelligent sensors; Intelligent systems; Intrusion detection; Protection; Robustness; Sensor systems;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944405
