I think people here could guide me in solving a problem related to anomaly detection. The term anomaly here refers to some undesired event occurring in the system like a virus infection.
I could get to know about it from more than one source. For example extracting value from two different data structure and if the value is different it is certain that virus infection is there.
In order to remove the false positive cases, information is gathered from different data structures or mechanisms. In that certain information are less trusted and certain information are more trusted.
I am looking for a mathematical method, that could easily handle this type of situations. Whether
fuzzy/Genetic Algorithm/Neural Net fits here ? Found in some places they using one
normality based approach(using z score). Please help.