Correlation of biological and computer viruses through evolutionary game theory
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2021
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| _version_ | 1866929756391342080 |
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| author | Kostadimas, Dimitris Kastampolidou, Kalliopi Andronikos, Theodore |
| author_facet | Kostadimas, Dimitris Kastampolidou, Kalliopi Andronikos, Theodore |
| contents | Computer viruses have many similarities to biological viruses, and their association may offer new perspectives and new opportunities in the effort to tackle and even eradicate them. Evolutionary game theory has been established as a useful tool for modeling viral behaviors. This work attempts to correlate a well-known virus, namely Virlock, with the bacteriophage $\phi6$. Furthermore, the paper suggests certain efficient strategies and practical ways that may reduce infection by Virlock and similar such viruses. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2108_00508 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Correlation of biological and computer viruses through evolutionary game theory Kostadimas, Dimitris Kastampolidou, Kalliopi Andronikos, Theodore Computer Science and Game Theory Neural and Evolutionary Computing Computer viruses have many similarities to biological viruses, and their association may offer new perspectives and new opportunities in the effort to tackle and even eradicate them. Evolutionary game theory has been established as a useful tool for modeling viral behaviors. This work attempts to correlate a well-known virus, namely Virlock, with the bacteriophage $\phi6$. Furthermore, the paper suggests certain efficient strategies and practical ways that may reduce infection by Virlock and similar such viruses. |
| title | Correlation of biological and computer viruses through evolutionary game theory |
| topic | Computer Science and Game Theory Neural and Evolutionary Computing |
| url | https://arxiv.org/abs/2108.00508 |