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Module for data collection from industrial equipment
Vávra, Petr ; Kaczmarczyk, Václav (referee) ; Fiedler, Petr (advisor)
Theses deals with development of a module for data collection from industrial equipment. As a suitable protocol for collecting data is chosen OPC UA. The source of data are OPC UA servers on PLCs from Siemens. For secure transport to public cloud Microsoft Azure over TLS protocol is used IoT Edge and IoT Hub gate. The data are stored in Time Series database InfluxDB. For visualization are used web applications Influx DB and Grafana. Software is tested on industrial equipment.
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Security Monitoring of Applications in Azure
Doležal, Vojtěch ; Petr,, Svojanovský (referee) ; Ondrák, Viktor (advisor)
This thesis combines two major topics of today's IT. Security and cloud computing is something that every company is dealing with today and entire countries are aware of their importance. The thesis deals with the monitoring and security of services in Microsoft Azure secured exclusively by native services. The goal of the thesis is to find out whether native Azure security services can replace the shortcomings in the security of the applications themselves. If these services are not able to do that, it must be decided whether their usage is beneficial. The theoretical part deals with cloud computing and information security. The analytical part describes Skoda Auto and the Microsoft Azure service, including the important services it offers. The design part documents the testing and the results obtained by it. The result of the work is the finding that the deployment of monitoring and security in the cloud does not solve the problem of insufficiently secure applications. However, it can contribute to security, not only to the security of the applications themselves, but also to the security of the entire cloud environment.
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Monitoring Solution for the PowerBI Service
Trifanov, Filip ; Bednář, Luboš (referee) ; Luhan, Jan (advisor)
This master’s thesis deals with design of the monitoring solution for the Power BI service. The thesis is divided into theoretical, analytical and design sections. In the theoretical part describes the theoretical fundamentals, used technologies and analytical tools. The analytical part analyzes the company Intelligent Technologies, competitive solutions and data sources for the design part. The design part proposes its own solution for monitoring the Power BI service, including the costs and benefits of the proposed solution.
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Database Migration from Microsoft SQL Server to Cloud Microsoft Azure SQL Database
Pernicová, Aneta ; Luhan, Jan (referee) ; Kříž, Jiří (advisor)
The content of this bachelor thesis is the relational database migration from Microsoft SQL Server to the Microsoft Azure SQL Database cloud solution. The first part focuses on the history and development of Microsoft SQL Server and the introduction of the Microsoft Azure platform with a focus on the SQL Database service. The second part analyzes the current situation from the viewpoint of the information system focusing on the content and structure of the database and subsequently in the third part, I deal with the practical processing of migration.
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Vulnerability testing of cloud solutions by Slowloris attack
Šrámek, Michal ; Sikora, Marek (referee) ; Šeda, Pavel (advisor)
This bachelor's thesis addresses the issue of distributed Slowloris attack implemented in the Apache JMeter module. This module is then used to demonstrate the vulnerability in the Microsoft Azure cloud environment. The outcome of the thesis is an extension of the module, enabling testing from multiple IP addresses. The SlowHTTPTest tool, which the module utilizes for the attack, is also modified. In the introduction, the basic concepts related to cloud services and their classification are established. This is followed by chapters defining the current security threats to the cloud and how they compare between the three largest cloud providers. The technologies and configurations used in Azure environments are also described. Finally, the thesis focuses on modifying the attack module to support multiple addresses and tests it on both local and cloud infrastructures.
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Security Monitoring of Applications in Azure
Doležal, Vojtěch ; Petr,, Svojanovský (referee) ; Ondrák, Viktor (advisor)
This thesis combines two major topics of today's IT. Security and cloud computing is something that every company is dealing with today and entire countries are aware of their importance. The thesis deals with the monitoring and security of services in Microsoft Azure secured exclusively by native services. The goal of the thesis is to find out whether native Azure security services can replace the shortcomings in the security of the applications themselves. If these services are not able to do that, it must be decided whether their usage is beneficial. The theoretical part deals with cloud computing and information security. The analytical part describes Skoda Auto and the Microsoft Azure service, including the important services it offers. The design part documents the testing and the results obtained by it. The result of the work is the finding that the deployment of monitoring and security in the cloud does not solve the problem of insufficiently secure applications. However, it can contribute to security, not only to the security of the applications themselves, but also to the security of the entire cloud environment.
|
|
|
Module for data collection from industrial equipment
Vávra, Petr ; Kaczmarczyk, Václav (referee) ; Fiedler, Petr (advisor)
Theses deals with development of a module for data collection from industrial equipment. As a suitable protocol for collecting data is chosen OPC UA. The source of data are OPC UA servers on PLCs from Siemens. For secure transport to public cloud Microsoft Azure over TLS protocol is used IoT Edge and IoT Hub gate. The data are stored in Time Series database InfluxDB. For visualization are used web applications Influx DB and Grafana. Software is tested on industrial equipment.
|
|
|
Monitoring Solution for the PowerBI Service
Trifanov, Filip ; Bednář, Luboš (referee) ; Luhan, Jan (advisor)
This master’s thesis deals with design of the monitoring solution for the Power BI service. The thesis is divided into theoretical, analytical and design sections. In the theoretical part describes the theoretical fundamentals, used technologies and analytical tools. The analytical part analyzes the company Intelligent Technologies, competitive solutions and data sources for the design part. The design part proposes its own solution for monitoring the Power BI service, including the costs and benefits of the proposed solution.
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