论文信息 - Clustering Algorithms and Data Streams for Supervised Control of Data and Prevention of Threats in Mobile Application Systems

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

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.

Aneta Poniszewska-Maranda | Aneta Majchrzycka | A. Poniszewska-Marańda | A. Majchrzycka

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