Program Detection with Context Dependency for Collaborative Services

Anomaly detection of privileged programs is one of the most important means to ensure the security of collaborative services. The concept of the short sequences on the context dependency has been strictly defined, which as the computation foundation, can be introduced into the anomaly detection of privileged programs providing collaborative services. The method of program detection has been established based on the pattern matching by the special designed neighborhood algorithm. Experiments indicate that the modeling method evidently increases the deviation of abnormal behaviors from normal profile. The research works may lay the better foundations for developing security solutions of collaborative systems