… false alarms within the network critical segments of network infrastructures, reducing false
… be able to highly detect on low false alarm rates. To offset the abovementioned constraints, …

… of either false or clinically not relevant alarms. It was found that the high rate of false alarms
… In this study we apply data mining methods to reduce the false alarm rate of monitoring …

… data mining is used in this study to increase the accuracy of the system and reduce the
false alarm … In conclusion, this technique has reduced the numbers of false alarm rates and …

… be false positive, ie, will not be related to intrusive activities. With the same false alarm rate
and a more realistic detection rate of 0.7, we obtain that 42% of alerts will be false positives. …

… Moreover, given such models of normal behavior, we wanted to develop a method that
improves incident detection while reducing the volume of false positive alarms and thus also …

… data mining techniques have been used to mine the normal pattern from the audit data. Two
… approach can detect novel and unseen attacks, but suffers from a high rate of false alarms. …

… mixed with false alerts. In this paper we proposed a false alarm classification model to reduce
the false alarm rate using classification analysis of data mining techniques. The model was …

… false alarms coming from intrusion detection systems. We are using generalized frequent
episodes, a data mining … This identifies common, recurring sequences of alarms for a given site. …

… The produced data is investigated and analyzed to classify the … false alarms based on
parameters like temperature, smoke, and gas values of different sensors embedded in a fire alarm …

… The traditional approaches are differed by data mining to machine learning which has
methods are decision tree, Naïve Bayes, Clustering and Bayesian network. When the clustering …