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
Dr. Faisal Iradat, Assistant Professor, Department of Computer Science, School of Mathematics and Computer Science (SMCS)
Keywords
Cybersecurity, Stream Processing, Threat detection, Distributed Systems
Abstract
The Internet, being a basic necessity, is at the tips of every individual and corporation today, many of whom possess malicious intentions. This has led to a surge in cyber threats which require robust cybersecurity solutions that are capable of detecting anomalies in real-time and taking the necessary actions. As such, this necessitates a system that can cope with this sheer volume and speed of data. To that end, Stream processing, particularly Apache Flink, has emerged as one solution for handling continuously evolving data in real-time. This research then proposes a custom architecture utilizing stream processing to ingest and process data from diverse sources to promptly detect and allow analysts to respond proactively. The architecture emphasizes scalability, reliability, and the ability to handle large volumes of data.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Ahmed, Ateeb. "Leveraging Stream Processing for Cybersecurity." Unpublished graduate research project. Institute of Business Administration. 2024. https://ir.iba.edu.pk/research-projects-mscs/68
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