Degree
Master of Science in Computer Science
Department
Department of Computer Science
School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Spring 2024
Supervisor
Saiyed Shahab Ahmed, Visiting Faculty, Department of Computer Science, School of Mathematics and Computer Science (SMCS)
Keywords
RPA, Robotic Process Automation, bots, Business Processes, Automation, Efficiency, Data Entry, Cybersecurity, Security Operations Center (SOC)
Abstract
In the realm of cybersecurity operations, the timeliness and efficiency of incident response are critical to mitigating potential threats and minimizing damage. The rapid identification, analysis, and resolution of security incidents can significantly reduce the impact of cyber-attacks. This necessitates a structured approach where time-based actions are prioritized to ensure prompt responses. Robotic Process Automation (RPA) emerges as a powerful tool in enhancing these operations. By automating repetitive and time-consuming tasks, RPA enables security teams to focus on more strategic decision-making processes. The integration of RPA into cybersecurity workflows can lead to faster log analysis, streamlined data extraction, and efficient handling of alerts. This report explores the importance of time-based actions in incident response and demonstrates how RPA can assist in optimizing these processes. This report highlights using UIPath to implement an automation process. This project underscores the potential of RPA to transform cybersecurity operations, making them more resilient and responsive in the face of evolving threats.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Sundas, Laaebba. "Automated Verification of Security Events Using RPA." Unpublished graduate research project. Institute of Business Administration. 2024. https://ir.iba.edu.pk/research-projects-mscs/44
ERP25356 - MSCS Project - Demo.mp4 (18904 kB)
ERP 25356 - MS Project Mid Semester Report.pdf (829 kB)
LogEvidenceCapturingBot-25356.zip (1142 kB)
usb_ids.xlsx (711 kB)
usbdeview-x64.zip (124 kB)
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