Sökning: "Intrusion Detection systems"
Visar resultat 21 - 25 av 77 uppsatser innehållade orden Intrusion Detection systems.
21. INTRUSION DETECTION USING MACHINE LEARNING FOR INDUSTRIAL CONTROL SYSTEMS
Magister-uppsats, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : An intrusion detection system (IDS) is a software application that monitors a network forunauthorized and malicious activities or security policy violations related to confidentiality,integrity, and availability of a system. In this thesis, we performed detailed literature reviewson the different types of IDS, anomaly detection methods, and machine learning algorithmsthat can be used for detection and classification. LÄS MER
22. A Performance Analysis of Intrusion Detection with Snort and Security Information Management
Master-uppsats, Linköpings universitet/Databas och informationsteknikSammanfattning : Network intrusion detection systems (NIDSs) are a major component in cybersecurity and can be implemented with open-source software. Active communities and researchers continue to improve projects and rulesets used for detecting threats to keep up with the rapid development of the internet. LÄS MER
23. Designing a Physical Unclonable Function for Cryptographic Hardware
Master-uppsats, Linköpings universitet/Institutionen för teknik och naturvetenskap; Linköpings universitet/Tekniska fakultetenSammanfattning : Hardware Security Modules (HSMs) are embedded systems that provide a physically secure data storage and handling environment. This master thesis evaluates an HSM method incorporating cryptographic key generation, key management, and tamper protection. LÄS MER
24. Digital Twin-based Intrusion Detection for Industrial Control Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Digital twins for industrial control systems have gained significant interest over recent years. This attention is mainly because of the advanced capabilities offered by digital twins in the areas of simulation, optimization, and predictive maintenance. LÄS MER
25. Combining Anomaly- and Signaturebased Algorithms for IntrusionDetection in CAN-bus : A suggested approach for building precise and adaptiveintrusion detection systems to controller area networks
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : With the digitalization and the ever more computerization of personal vehicles, new attack surfaces are introduced, challenging the security of the in-vehicle network. There is never such a thing as fully securing any computer system, nor learning all the methods of attack in order to prevent a break-in into a system. LÄS MER