Evaluation of Security Vulnerability Scanners for Small and Medium Enterprises Business Networks Resilience towards Risk Assessment
| Autor: | Rallis C. Papademetriou, Ilias Chalvatzis, Dimitrios A. Karras |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Process (engineering) Computer science Scale (chemistry) Vulnerability scanning Vulnerability Nessus OpenVAS 02 engineering and technology computer.software_genre Risk Assessment Vulnerability Scanning 020901 industrial engineering & automation Risk analysis (engineering) Scripting language Virtual machine 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Small and medium-sized enterprises Resilience (network) Risk assessment computer Nmap Scripting Engine Vulnerability (computing) |
| Zdroj: | Chalvatzis, I, Karras, D A & Papademetriou, R 2019, Evaluation of security vulnerability scanners for small and medium enterprises business networks resilience towards risk assessment . in Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) . vol. 1, Institute of Electrical and Electronics Engineers Inc., USA, 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, Dalian, China, 29/03/19 . https://doi.org/10.1109/ICAICA.2019.8873438 |
| DOI: | 10.1109/icaica.2019.8873438 |
| Popis: | Risk Assessment has been identified as a critical issue in computer infrastructures, especially in medium to large scale organizations and enterprises. The goal of this research report is to provide a virtual machine based framework for testing the performance of vulnerability scanners applied to such enterprises, focused to small and medium size ones. Moreover, the purpose of this paper is to compare three of the most well-known free vulnerability scanning solutions (Nessus, OpenVAS, Nmap Scripting Engine) in regards to how they can be used to automate the process of Risk Assessment in an organization, based on the herein presented experimental evaluation framework involving virtual machine testing. |
| Databáze: | OpenAIRE |
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