Advanced anomaly intrusion detection technique for host based system using system call patterns
Computer security has become a significant concern in numerous organizations. There are lots of ways to handle this concerns including anomaly Intrusion Detection System on the computer system. It takes the position as a detector for every intrusion that is happening from the computer system. Because of high false alarm rate host based anomaly is bit problematic. This paper introduces an entirely unique method for deducing the call traces for the raw system and its result can be improved by using a true semantic interpretation. The best results are possible by making use of range of decision engines for evaluating the KDDCup99 and UNM datasets also ADFA Linux dataset.
2016 International Conference on Inventive Computation Technologies (ICICT)