| 摘要 |
<p>The invention relates to a method and system for monitoring the behaviour of at least one observable object, e.g. a network element, of a network, wherein at least one parameter of the observable object is repeatedly detected. An actually detected parameter is input to a learning process and to an analyzing process, wherein the learning process forms a reference, based on at least two detected parameter values, for describing the behaviour of the observable object. The analyzing process compares the input parameter and the reference for detecting an anomal behaviour. The parameter preferably is a vector which comprises several values describing properties or functioning of the observable object, and is formed based on events and/or reports from the object.</p> |
