Essays about: "Thesis on Intrusion Detection System"
Showing result 1 - 5 of 43 essays containing the words Thesis on Intrusion Detection System.
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1. A Prevention Technique for DDoS Attacks in SDN using Ryu Controller Application
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Software Defined Networking (SDN) modernizes network control, offering streamlined management. However, its centralized structure makes it more vulnerable to distributed Denial of Service (DDoS) attacks, posing serious threats to network stability. READ MORE
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2. Evaluating intrusion detection points in an end-to-end solution
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Evaluating all intrusion detection points in an end-to-end cyber-physical system can be challenging. This master thesis focuses on evaluating the security of the most exposed part of such systems, Radio Frequency Identification (RFID) communication. READ MORE
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3. Quantum Espionage
University essay from KTH/Tillämpad fysikAbstract : This thesis investigates the security of optical fiber communication and demonstrates the feasibility of eavesdropping using different tapping methods and superconducting nanowire single-photon detectors (SNSPDs). Methods for surveillance against fiber intrusion are also investigated. READ MORE
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4. 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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5. Differentially Private Random Forests for Network Intrusion Detection in a Federated Learning Setting
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : För varje dag som går möter stora industrier en ökad mängd intrång i sina IT-system. De flesta befintliga verktyg som använder sig utav maskininlärning är starkt beroende av stora mängder data, vilket innebär risker under dataöverföringen. READ MORE