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Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic
Ivan Cvitić1, Dragan Peraković1, Marko Periša1
1Faculty of Transport and Traffic Sciences, University of Zagreb, Vukelićeva 4, 10000 Zagreb, Croatia.
Mobile Networks and Applications : MONET
|June 6, 2025
Summary
Distributed Denial of Service (DDoS) attacks threaten e-learning systems during crises like the COVID-19 pandemic. This research proposes a cyber-threat detection model to distinguish attacks from legitimate traffic, enhancing e-learning security and quality.
Area of Science:
- Cybersecurity
- Computer Networks
- Educational Technology
Background:
- The COVID-19 pandemic highlighted the critical reliance on e-learning systems.
- Distributed Denial of Service (DDoS) attacks pose a significant threat to e-learning infrastructure, disrupting educational continuity.
- Botnets, particularly those leveraging Internet of Things (IoT) devices, are key enablers of large-scale DDoS attacks.
Purpose of the Study:
- To analyze the impact of the COVID-19 pandemic on e-learning systems in Croatia.
- To propose a research methodology for developing a cyber-threat detection model for e-learning environments.
- To differentiate malicious DDoS attacks from legitimate flash crowd events in e-learning network traffic.
Main Methods:
- Literature review on network anomalies and DDoS attack mechanisms.
- Establishment of a theoretical framework for DDoS and flash crowd traffic analysis.
- Development and testing of a DDoS detection model using a laboratory testbed and real-world case study data.
Main Results:
- Identification of network anomalies, specifically DDoS attacks, as critical threats to e-learning systems.
- Analysis of the impact of the COVID-19 pandemic on Croatian e-learning platforms.
- Proposed methodology for a cyber-threat detection model tailored for e-learning systems during crises.
Conclusions:
- Timely detection of DDoS attacks can significantly improve the quality and reliability of the e-learning process.
- The developed methodology contributes to a specialized research domain in cybersecurity for e-learning.
- Implementation of the model enhances the cybersecurity posture of e-learning systems and provides valuable datasets for future research.
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