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Computer Virus Models - The Susceptible Infected Removed (SIR) Model
Stelios Zimeras1, Marianna Diomidous2
1Department of Mathematics, University of the Aegean, Karlovassi, Samos.
Studies in Health Technology and Informatics
|July 4, 2018
Summary
This study models computer virus spread in healthcare systems using epidemiological methods. The SIR model helps understand and defend patient data integrity against cyber threats.
Area of Science:
- Computer Science
- Epidemiology
- Cybersecurity
Background:
- Healthcare systems face significant cybersecurity risks, including viruses that threaten patient record integrity.
- Interconnected systems and internet access facilitate the spread of malicious programs, causing data damage.
Purpose of the Study:
- To model the spread of computer viruses within healthcare networks.
- To analyze the effectiveness of epidemiological models for cybersecurity applications.
Main Methods:
- Utilized dynamic equation systems to represent virus propagation.
- Applied the susceptible-infected-recovered (SIR) epidemiological model.
- Illustrated the analysis of the SIR model's performance in this context.
Main Results:
- The study demonstrates the applicability of epidemiological models to understand virus dynamics in computer systems.
- The SIR model provides a framework for analyzing the spread and potential containment of cyber threats.
Conclusions:
- Modeling virus spread using epidemiological principles is crucial for enhancing healthcare cybersecurity.
- The SIR model offers valuable insights for protecting sensitive health information from digital threats.
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