Authors
Seongmo An, Taehoon Eom, Jong Sou Park, Jin Bum Hong, Armstrong Nhlabatsi, Noora Fetais, Khaled M Khan, Dong Seong Kim
Publication date
2019/8/5
Conference
2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
Pages
602-609
Publisher
IEEE
Description
Cloud computing has been adopted widely, providing on-demand computing resources to improve performance and reduce operational costs. However, these new functionalities also bring new ways to exploit the cloud computing environment. To assess the security of the cloud, graphical security models can be used, such as Attack Graphs and Attack Trees. However, existing models do not consider all types of threats, and also automating the security assessment functions are difficult. In this paper, we propose a new security assessment tool for the cloud named CloudSafe, an automated security assessment for the cloud. The CloudSafe tool collates various tools and frameworks to automate the security assessment process. To demonstrate the applicability of the CloudSafe, we conducted security assessment in Amazon AWS, where our experimental results showed that we can effectively gather security …
Total citations
2019202020212022202313646
Scholar articles
S An, T Eom, JS Park, JB Hong, A Nhlabatsi, N Fetais… - 2019 18th IEEE International Conference On Trust …, 2019