Essays about: "SCADA networks"
Showing result 1 - 5 of 14 essays containing the words SCADA networks.
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1. Third-party risks in industrial control systems: : A case study in the wind power sector
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : 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. READ MORE
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2. Attack Surface Management : Principles for simplifying the complexity of OT security
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Purpose: Operational technology (OT) environments face significant risks and threats stemming from Industry 4.0. The security landscape for OT is confronted with unprecedented challenges due to the expanding attack surface resulting from factors like cloud adoption, Industrial Internet of Things, and increased mobility. READ MORE
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3. Cyber resilience for critical infrastructure : A systematic review
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Critical infrastructure is a term to define the network of crucial assets for the functioning of a society and modern economies. The complexity of critical infrastructures and the ability to connect smart devices to these networks make them more vulnerable to cyberattacks. READ MORE
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4. HONEYPOT – To bee or not to bee: A study of attacks on ICS/SCADA systems.
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : In the past, industrial control systems (ICS) and supervisory control and data acquisition (SCADA) systems were planned to run as isolated networks, and not interconnect with other networks e.g., the internet or other parts of a corporate’s network. Because of the isolation, no cybersecurity mechanism was required. READ MORE
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5. PREDICTION OF WIND TURBINE BLADE FATIGUE LOADS USING FEED-FORWARD NEURAL NETWORKS
University essay from Uppsala universitet/Institutionen för geovetenskaperAbstract : In recent years, machine learning applications have gained great attention in the wind power industry. Among these, artificial neural networks have been utilized to predict the fatigue loads of wind turbine components such as rotor blades. READ MORE