Untrained Multiple Classifier System for designing security scanner for web applications

The Multiple Classifier Systems are nowadays one of the most promising directions in pattern recognition. There are many methods of decision making based on classifier groups. The most popular are those methods that have their origin in voting, where the decision of the common classifier is a combination of simple classifiers decisions. The paper presents an idea how a decision about attack in application layer could be made by an Intrusion Detection System application using a combining classifier. The results of the computer experiments carried out on computer-generated data, confirm quality of the proposed concept.