Title :
Untrained Multiple Classifier System for designing security scanner for web applications
Author :
Sztajer, Szymon ; Wozniak, Michal
Author_Institution :
Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
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.
Keywords :
Internet; pattern classification; security of data; Web application; classifier group; decision making; intrusion detection system application; pattern recognition; security scanner; untrained multiple classifier system; Classification algorithms; Databases; Decision making; Machine learning; Pattern recognition; Security; Training;
Conference_Titel :
Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4244-8549-9
DOI :
10.1109/ICIAFS.2010.5715688