Essays about: "intrusion detection."
Showing result 6 - 10 of 126 essays containing the words intrusion detection..
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6. Intrusion Detection in the Internet of Things : From Sniffing to a Border Router’s Point of View
University essay from Uppsala universitet/DatorteknikAbstract : The Internet of Things is expanding, and with the increasing numbers of connected devices,exploitation of those devices also becomes more common. Since IoT devices and IoT networksare used in many crucial areas in modern societies, ranging from everything between securityand militrary applications to healthcare monitoring and production efficiency, the need to securethese devices is of great importance for researchers and businesses. READ MORE
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7. Design and Implementation of an Efficient Intrusion Response System for 5G RAN Baseband Units
University essay from Linköpings universitet/Databas och informationsteknikAbstract : The 5G Radio Access Network (RAN) is a critical system that must be secured against potential attacks, particularly its Base-Band Unit (BBU), which is a common target for intrusions. Ericsson, which is a big provider of such systems, has placed significant emphasis on implementing Intrusion Detection Systems (IDS) to detect threats. READ MORE
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8. Unsupervised Anomaly Detection and Explainability for Ladok Logs
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Anomaly detection is the process of finding outliers in data. This report will explore the use of unsupervised machine learning for anomaly detection as well as the importance of explaining the decision making of the model. READ MORE
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9. Hidden Markov Models for Intrusion Detection Under Background Activity
University essay from KTH/Matematisk statistikAbstract : 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. READ MORE
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10. Observability in Machine Learning based Intrusion Detection Systems for RPL-based IoT
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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. READ MORE
