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Visar resultat 1 - 5 av 69 uppsatser som matchar ovanstående sökkriterier.
1. Case Study: Assessing the Security of a ZigBee Smart HomeNetwork
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Utilizing the ZigBee protocol is pervasive in the context of smart homes, offering substantial convenience to individuals. However, smart home devices commonly handle significant quantities of real-world information, potentially giving rise to concerns related to information leakage. LÄS MER
2. Designing a Novel RPL Objective Function & Testing RPL Objective Functions Performance
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : The use of Internet of Things systems has increased to meet the need for smart systems in various fields, such as smart homes, intelligent industries, medical systems, agriculture, and the military. IoT networks are expanding daily to include hundreds and thousands of IoT devices, which transmit information through other linked devices to reach the network sink or gateway. LÄS MER
3. Development and Implementation Strategies Towards a Comprehensive YANG Model-Based Configuration Data Generation Tool
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : Effective management and operation of modern networks heavily rely on efficient network configuration management and infrastructure. Manual configuration management has been proven inefficient, and there is a need to automatize it. LÄS MER
4. Ethical Hacking of a Smart IoT Camera : A Penetration Test on D-Link DCS 8515-LH Smart Camera
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The trending usage of IoT devices raises serious security concerns. IoT devices have complete access to users’ network environments. In the eyes of hackers, the value of IoT devices is exceptionally high. From minor disturbances to major crimes, all could happen in no time with compromised IoT devices. LÄS MER
5. Machine Learning of Laser Ultrasonic Data to Predict Material Properties
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : The hardness of steel is an important quality parameter for several industrial applications. Conventional mechanical testing is used in quality testing for material hardness and the method is time-consuming, can cause material mix-ups, and results in material waste. LÄS MER