Sökning: "onormalt beteende"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden onormalt beteende.

1. 1. Are Children Safe with Smart Watches? : Security Analysis and Ethical Hacking on Children’s Smart Watches

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yaqi Tian; [2023]
   Nyckelord :Security analysis; Penetration testing; Smart watches; Mobile Applications; Säkerhetsanalys; Penetrationstestning; Smarta klockor; Mobilapplikationer;

   Sammanfattning : There are more and more parents that are considering to purchase smart watches for their kids. The children’s smart watches on the market are usually equipped with many practical functions like the GPS positioning, the camera and the messaging. LÄS MER

3. 2. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Rémi Bourgerie; [2023]
   Nyckelord :5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

   Sammanfattning : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. LÄS MER

4. 3. Using ARM TrustZone for Secure Resource Monitoring of IoT Devices Running Contiki-NG

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Nikolaos Georgiou; [2023]
   Nyckelord :ARM TrustZone; Internet Of Things; Trusted Execution Environment; Secure monitoring; Contiki-NG; ARM TrustZone; Internet Of Things; Trusted Execution Environment; Säker övervakning; Contiki-NG;

   Sammanfattning : The rapid development of Internet of Things (IoT) devices has brought unparalleled convenience and efficiency to our daily lives. However, with this exponential growth comes the pressing need to address the critical security challenges posed by these interconnected devices. LÄS MER

5. 4. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Sofia Nord; [2021]
   Nyckelord :Time Series Data Generation; Generative Adversarial Network; Deep Neural Network; Data Augmentation; Synthetic Data Generation; Generering av Tidsseriedata; Generativa Motstridande Nätverk; Djupa Neurala Nätverk; Dataökning; Syntetisk Datagenerering;

   Sammanfattning : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. LÄS MER

7. 5. Halmhäckar – ett sätt att öka grisarnas undersökningsmöjligheter?

   Kandidat-uppsats, SLU/Dept. of Animal Environment and Health

   Författare :Stina Kling; [2019]
   Nyckelord :pig; straw; straw rack; manipulative material; tail biting;

   Sammanfattning : I det vilda ägnar grisar mycket tid åt att undersöka sin omgivning, grisar inom intensiv produktion är fortfarande starkt motiverade till att undersöka omgivningen. I Sverige ges halm dagligen för att stimulera dessa beteenden, hålla en bra välfärd och reducera risken för att de undersökande beteendena riktas gentemot svansar. LÄS MER