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Monitoring Influenza Virus Survival Outside the Host Using Real-Time Cell Analysis

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Published on: February 20, 2021

Survival Models in Computer Virus.

Stelios Zimeras¹, Marianna Diomidous²

¹Department of Mathematics, University of the Aegean, Karlovassi, Samos, Greece.

Studies in Health Technology and Informatics

|July 4, 2018

Summary

This study introduces survival analysis models to combat computer viruses by analyzing their spread using epidemiological and mathematical models. These methods help understand and mitigate virus propagation within computer systems.

Keywords:

computer security computer virus malicious software survival analysis

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Area of Science:

Computer Science
Cybersecurity
Mathematical Modeling

Background:

Computer systems face threats during inter-component communication.
Virus propagation can cause significant system damage.
Modeling and simulation are crucial for understanding virus spread.

Purpose of the Study:

To investigate computer virus spreading mechanisms.
To apply survival analysis models for virus threat mitigation.
To analyze virus spread using epidemiological and mathematical approaches.

Main Methods:

Utilized survival analysis models.
Applied epidemiological models to study virus transmission.
Employed mathematical modeling for virus survival analysis.

Main Results:

Survival analysis models provide a framework for understanding virus dynamics.
The study analyzed both virus spread patterns and persistence.
Mathematical modeling quantified virus survival within systems.

Conclusions:

Survival analysis offers a novel approach to computer virus threat assessment.
Understanding virus epidemiology and survival is key to system security.
Mathematical and epidemiological modeling are essential tools for cybersecurity research.