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Automatic Honeypots Deployment and Data Gathering
Ďuriš, Tomáš ; Pluskal, Jan (referee) ; Zobal, Lukáš (advisor)
This work deals with honeypots deployment automation, data collection from honeypots and the deployment of a monitoring system with alerts. The aim was to study the issue of honeypots, choose tools for their deployment, maintenance and collection of provided data together with creation of automatic deployment system for multiple types of honeypots. The first part of the work is devoted to the theory of honeypots, their distribution and type. Furthermore, the work mentions the comparison of individual configuration tools. The practical part is devoted to the use of a selected configuration tool Ansible in cooperation with existing open-source applications to build a fully automated system for the deployment and monitoring of honeypots, collection of provided data and their visualization. Puppet
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Automatic Honeypots Deployment and Data Gathering
Ďuriš, Tomáš ; Pluskal, Jan (referee) ; Zobal, Lukáš (advisor)
This work deals with honeypots deployment automation, data collection from honeypots and the deployment of a monitoring system with alerts. The aim was to study the issue of honeypots, choose tools for their deployment, maintenance and collection of provided data together with creation of automatic deployment system for multiple types of honeypots. The first part of the work is devoted to the theory of honeypots, their distribution and type. Furthermore, the work mentions the comparison of individual configuration tools. The practical part is devoted to the use of a selected configuration tool Ansible in cooperation with existing open-source applications to build a fully automated system for the deployment and monitoring of honeypots, collection of provided data and their visualization. Puppet
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KPI management - auto alerting in MS SQL
Vedral, Jakub ; Pour, Jan (advisor) ; Zajíc, Ján (referee)
This diploma thesis deals with the problem of automatic alerting on Microsoft SQL Server 2008 platform. Thesis was elaborated with Clever Decision s.r.o. company which significantly contributed to thesis assignment. Main goal of this thesis is to provide a solution concept for absence of alerting for multidimensional data in Microsoft's product. Alerting is aimed at critical business data -- Key performance indicators - KPIs. KPIs are used to deliver enhanced business performance through Corporate Performance Management concept. These indicators need to be watched frequently. Considering that alerting solution is convenient for watching the data. Solution concept is based on market research of Business Intelligence (BI) platforms which dominates the market. Platforms are examined for their alerting capabilities. Next goal is to provide overall insight to KPI management -- creating, managing, analyzing and monitoring of KPIs. Thesis is divided into three sections. First part creates theoretical background for solution creation and describes the field of KPI management. Second part consists of market research using selected criteria. Third part is aimed at providing the solution concept through web application fixing the absence of alerting on Microsoft SQL Server 2008 platform. This thesis is primarily intended for Clever Decision company but also for various BI experts dealing with alerting problems on BI platforms. Thesis serves also as a theoretical summary of KPI management which is commonly evaded by available technical literature.
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