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Computational Modeling & Simulation Engineering Theses & Dissertations
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Cyber Defense Remediation In Energy Delivery Systems, Kamrul Hasan
Cyber Defense Remediation In Energy Delivery Systems, Kamrul Hasan
Computational Modeling & Simulation Engineering Theses & Dissertations
The integration of Information Technology (IT) and Operational Technology (OT) in Cyber-Physical Systems (CPS) has resulted in increased efficiency and facilitated real-time information acquisition, processing, and decision making. However, the increase in automation technology and the use of the internet for connecting, remote controlling, and supervising systems and facilities has also increased the likelihood of cybersecurity threats that can impact safety of humans and property. There is a need to assess cybersecurity risks in the power grid, nuclear plants, chemical factories, etc. to gain insight into the likelihood of safety hazards. Quantitative cybersecurity risk assessment will lead to informed cyber …
Analysis Of Bulk Power System Resilience Using Vulnerability Graph, Md Ariful Haque
Analysis Of Bulk Power System Resilience Using Vulnerability Graph, Md Ariful Haque
Computational Modeling & Simulation Engineering Theses & Dissertations
Critical infrastructure such as a Bulk Power System (BPS) should have some quantifiable measure of resiliency and definite rule-sets to achieve a certain resilience value. Industrial Control System (ICS) and Supervisory Control and Data Acquisition (SCADA) networks are integral parts of BPS. BPS or ICS are themselves not vulnerable because of their proprietary technology, but when the control network and the corporate network need to have communications for performance measurements and reporting, the ICS or BPS become vulnerable to cyber-attacks. Thus, a systematic way of quantifying resiliency and identifying crucial nodes in the network is critical for addressing the cyber …
Solving The Vehicle Re-Identification Problem By Using Neural Networks, Tanweer Rashid
Solving The Vehicle Re-Identification Problem By Using Neural Networks, Tanweer Rashid
Computational Modeling & Simulation Engineering Theses & Dissertations
Vehicle re-identification is the process by which vehicle attributes measured at one point on a road network are compared to vehicle attributes measured at another point in an effort to match vehicles without using any unique identifiers such as license plate numbers. A match is made if the two measurements are estimated to belong to the same vehicle. Vehicle attributes can be sensor readings such as loop induction signatures, or they can also be actual vehicle characteristics such as length, weight, number of axles, etc. This research makes use of vehicle length, travel time, axle spacing and axle weights for …