|
|
Security Analysis of Home IoT Network
Čikel, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
This work focuses on the issue of the security in home IoT network. Specifically, it focuses on the security issues of commercial IoT devices and their automation systems. In the work itself, it was firstly analyzed and identified specific threats specific for our network. To address these threats, the original automation systems and firmware on the devices were replaced by open-source implementations that were configured to address discovered threats. Although, there are still several security issues in a network with an open-source implementation, a large part of the security issues which were discovered has been eliminated. The results of this work allows to configure a home IoT network using an opens-source automation system and firmware and proves that such a network is more secure than the network where the original factory-supplied automation systems and firmware on devices are used.
|
|
|
Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.
|
|
|
IoT Home System
Kovařík, Viktor ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
The aim of this thesis was to learn and summarize basic information about IoT systems, which protocols are used and introduction of Google Home system. The first part of the thesis describes the individual parts of the system --- microcontrollers, sensors, light elements and possible systems for backend. In the implementation part of the thesis was designed a solution for smart home controling using Google Home technology. Based on data from the weather station, the system controls and adjusts the intensity of outdoor lighting and controls the blinds. Furthermore, a control module for gate and garage door control is implemented. The system also takes care of vacuum cleaning in the house using iRobot Roomba vacuum cleaners with custom Wi-Fi module. The final part of the thesis summarizes the achieved results.
|
|
|
Motionless Presence Detection of Humans
Szabó, Tomáš ; Dolejška, Daniel (referee) ; Pluskal, Jan (advisor)
Tato práce má za účelem nalezení generického řešení pro implementaci detekce osob v chytré domácnosti. Jednoduchá implementace za pomoci PIR sensorů je sice efektivní, ale při delší nečinnosti v místnosti jako práce na počítači nebo sledování televize není šance detekce změny v prostoru. Díky radaru fungujícím na bázi milimetrových vln jsme schopni říct zda osoba v místnosti skutečně pořád je. Existující komerční řešení je drahé a pro některé kouty světa nedostupné, jelikož produkt v dané zemi nemusí být povolen k prodeji. Řešením je implementace radaru tak, aby mohl fungovat jako samostatná jednotka v propojení s vývojovou sestavou, tak jako jedinec v rámci množiny senzorů. Jako testovací prostředí je vybráno prostředí NES@FIT pro rozsvícení světel při detekci osoby v mistnosti, kde je realizace prozatím řešena PIR senzory.
|
|
|
IoT system for conference room control
Kondás, Peter ; Šilhavý, Pavel (referee) ; Krajsa, Ondřej (advisor)
The goal of this bachelor´s thesis was to design and implement a system for monitoring room occupancy by counting the entries and exits of individuals from the room and chair occupancy detection, with the system sending data using the MQTT protocol. A device was designed for the system and components and sensors were then selected to further expand its capabilities. Home Assistant was used as the user interface for this system, providing a clear representation of the current state of the conference room.
|
|
|
Room Occupancy Detection with IoT Sensors
Kolarčík, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.
|
|
|
IoT Home System
Kovařík, Viktor ; Drahanský, Martin (referee) ; Goldmann, Tomáš (advisor)
The aim of this thesis was to learn and summarize basic information about IoT systems, which protocols are used and introduction of Google Home system. The first part of the thesis describes the individual parts of the system --- microcontrollers, sensors, light elements and possible systems for backend. In the implementation part of the thesis was designed a solution for smart home controling using Google Home technology. Based on data from the weather station, the system controls and adjusts the intensity of outdoor lighting and controls the blinds. Furthermore, a control module for gate and garage door control is implemented. The system also takes care of vacuum cleaning in the house using iRobot Roomba vacuum cleaners with custom Wi-Fi module. The final part of the thesis summarizes the achieved results.
|
|
|
Security Analysis of Home IoT Network
Čikel, Tomáš ; Jeřábek, Kamil (referee) ; Pluskal, Jan (advisor)
This work focuses on the issue of the security in home IoT network. Specifically, it focuses on the security issues of commercial IoT devices and their automation systems. In the work itself, it was firstly analyzed and identified specific threats specific for our network. To address these threats, the original automation systems and firmware on the devices were replaced by open-source implementations that were configured to address discovered threats. Although, there are still several security issues in a network with an open-source implementation, a large part of the security issues which were discovered has been eliminated. The results of this work allows to configure a home IoT network using an opens-source automation system and firmware and proves that such a network is more secure than the network where the original factory-supplied automation systems and firmware on devices are used.
|
guest ::
