| Title | Security validation testing environment in the cloud |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Bucur, Cristian, Babulak, Eduard |
| Conference Name | 2019 IEEE International Conference on Big Data (Big Data) |
| Keywords | big data security metrics, cloud computing, cloud environment, computer security, cybersecurity vulnerabilities, log analysis, Microsoft Windows, MS Azure, Proposals, pubcrawl, resilience, Resiliency, Scalability, security of data, security validation testing environment, Servers, Tools |
| Abstract | Researchers are trying to find new ways of finding and pointing out Cybersecurity vulnerabilities by using innovative metrics. New theoretical proposals need to be tested in a real environment, using Cybersecurity tools applications that can validate the applicability of those in real life. This paper presents an experimental flexible environment, which can be used for the validation of several theoretical claims based on an "easy to use" architecture implemented in a cloud environment. The framework provides a much shorter time setup in the real world as well as a much better understanding based on log analysis provided by MS Azure. As a proof of concept, we have tested three different claims and provided proves of results such as screenshots and log samples. |
| DOI | 10.1109/BigData47090.2019.9006202 |
| Citation Key | bucur_security_2019 |
Security validation testing environment in the cloud