Sökning: "Attack Simulations"
Visar resultat 16 - 20 av 52 uppsatser innehållade orden Attack Simulations.
16. Implementation of Machine Learning for Classification of Flight Simulation Data
Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikSammanfattning : The main objective of this thesis project is to explore the possibility of using machine learning as a way of categorizing flight simulation outcomes. If such a possibility exists, the process of analyzing whether a new configuration stays within given boundaries can be streamlined. LÄS MER
17. Blackhole Attack Detection in Low-Power IoT Mesh Networks Using Machine Learning Algorithms
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Low-Power Lossy Networks (LLNs) are a type of Internet of Things (IoT) meshnetwork that collaboratively interact and perform various tasks autonomously. TheRouting Protocol for Low-power and Lossy Network (RPL) is the most used rout-ing protocol for LLNs. LÄS MER
18. Numerical Study on Aerodynamic Drag Reduction on a Rear Wing of a Formula Student Car
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : The importance of aerodynamics in racing has increased substantially over the past decades. Racing vehicles utilize different aerodynamic devices, to redirect the airflow around the vehicle in a beneficial way. The increase in downforce using an aerodynamic wing package increases drag force. LÄS MER
19. Formalise Defense Strategies in Design Patterns of Threat Models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cyber-attacks are an increasing problem for organizations across the world. The attacks on systems are getting more and more sophisticated and thereby more and more difficult to protect against. The security of systems is crucial to protect your data from unauthorized access. LÄS MER
20. Containment Strategy Formalism in a Probabilistic Threat Modelling Framework
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Background - Foreseeing, mitigating and preventing cyber-attacks is more important than ever before. Advances in the field of probabilistic threat modelling can help organisations understand their own resilience profile against cyber-attacks. LÄS MER