Sökning: "network security"
Visar resultat 26 - 30 av 1014 uppsatser innehållade orden network security.
26. Man in The Middle Attacks on Software Defined Network
Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Software Defined Networking (SDN) is a method of abstracting the network to ease administration by centralizing it. Doing this removes intelligence from the devices and this might open up local security vulnerabilities. LÄS MER
27. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. LÄS MER
28. Hidden Markov Models for Intrusion Detection Under Background Activity
Master-uppsats, KTH/Matematisk statistikSammanfattning : Detecting a malicious hacker intruding on a network system can be difficult. This challenge is made even more complex by the network activity generated by normal users and by the fact that it is impossible to know the hacker’s exact actions. LÄS MER
29. Third-party risks in industrial control systems: : A case study in the wind power sector
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This report investigates third-party risk for SCADA systems, using Swedish wind power as an empirical case study. Supervisory, Control, and Data Acquisition (SCADA) systems are used in the wind power industry to monitor and control the operational process. The paper also proposed potential strategies for reducing third-party risks and exposures. LÄS MER
30. Observability in Machine Learning based Intrusion Detection Systems for RPL-based IoT
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : As IoT devices become more and more present in our daily lives, security in IoT networks has become a major concern. A promising approach for detecting attacks is the use of machine learning based Intrusion Detection Systems (IDSs). The attack studied in this thesis is the blackhole attack, an attack causing parts of the network to disconnect. LÄS MER