%0 Conference Proceedings
%T Cyber Security of the Application Layer of Mission Critical Industrial Systems
%+ University of Sciences and Technology (UTP)
%+ Uniwersytet im. Adama Mickiewicza w Poznaniu  = Adam Mickiewicz University in Poznań (UAM)
%A Kozik, Rafał
%A Choraś, Michał
%A Renk, Rafał
%A Hołubowicz, Witold
%Z Part 5: Scheduling in Manufacturing and Other Applications
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 342-351
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_31
%K Cyber security
%K Anomaly detection
%K Pattern extraction
%K Application layer attacks
%K Web application security
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X In this paper we focus on proposing the effective methods of cyber protection of the application layer. We also discuss how this challenge is related to mission critical industrial and manufacturing systems. In this paper we propose two step HTTP request analysis method that engages request segmentation, statistical analysis of the extracted content and machine learning on the imbalanced data. In this work, we particularly addressed the segmentation technique that allows us to divide the large dataset on smaller subsets and learn the classifiers in a significantly shorter time. In our experiments we evaluated several classifiers that are popular in data mining community. The results of our experiments are obtained on a benchmark CSIC’10 HTTP dataset. The proposed approach allows us to further improve the achieved results of protecting application layer in comparison to other benchmark approaches.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637452/document
%2 https://inria.hal.science/hal-01637452/file/419526_1_En_31_Chapter.pdf
%L hal-01637452
%U https://inria.hal.science/hal-01637452
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842