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Clustering Algorithms and Data Streams for Supervised Control of Data and Prevention of Threats in Mobile Application Systems

  • Aneta MajchrzyckaEmail author
  • Aneta Poniszewska-Marańda
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 521)

Abstract

The paper aims to present the possibilities of application of various data mining techniques in order to increase the security level of mobile application systems. The scope of work incorporates the usage of clustering algorithms—particularly Density-Based Spatial Clustering of Applications with Noise (DBScan)—as well as other mechanisms connected with data streams. The proposed solution is based on the process of monitoring the incoming server requests obtained from mobile devices which use server application to connect to the data.

Keywords

Mobile systems Security of mobile applications Data exploration Data mining Clustering Data streams 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Information TechnologyLodz University of TechnologyŁódźPoland

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