Cyber Security of the Application Layer of Mission Critical Industrial Systems

Abstract

Part 5: Scheduling in Manufacturing and Other ApplicationsInternational audienceIn 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

Increasing product owners’ cognition and decision-making capabilities by data analysis approach

“…In addition, low quality of code significantly impacts the overall cost of the software development, deployment, and further maintenance (Jones and Bonsignour 2011). Software flaws and bugs can impact not only its usability, functional value, and user experience, but also security of users, due to the fact that bugs in the design or implementation phase can be exploited by cyber criminals (Kozik et al 2016). According to study (Telegraph 2015), consequences of cyber attacks cost about £18 billion per year to British companies in terms of lost revenues.…”