Title :
Researching on Controlling Model of IDS Alarm
Author :
Guo Xiaoli ; Guo Ping
Author_Institution :
Inf. Eng. Coll., Northeast Dianli Univ., Jilin, China
Abstract :
This paper is mainly in order to solve the high rate of wrong alarm in IDS. First we have analyzed carefully two kinds of controlling arithmetic models (Non-linear model and linear convergence model). Then we have set up an efficient alarm controlling model by the way of analyzing alarming information. This alarm controlling model which uses the passivation of human olfaction aims at the sustaining high frequency no-action alarming information in order to reduce rate of no-action alarming in IDS, the final result is that we can achieve the lowest wrong alarming of IDS and we can make it convenient to administrators.
Keywords :
convergence; nonlinear equations; security of data; IDS alarm control model; human olfaction passivation; intrusion detection; linear convergence model; nonlinear model; Arithmetic; Convergence; Educational institutions; Frequency; Humans; Information analysis; Internet; Intrusion detection; Passivation; Virtual manufacturing;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5362522