Title
CloudSafe: A Tool for an Automated Security Analysis for Cloud Computing
Abstract
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 information of the cloud and carry out security assessment to produce security reports. Users and cloud service providers can use the security report generated by the CloudSafe to understand the security posture of the cloud being used/provided.
Year
DOI
Venue
2019
10.1109/TrustCom/BigDataSE.2019.00086
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)
Keywords
Field
DocType
cloud computing,cloud security,graphical security models,security assessment
Computer security,Computer science,Exploit,Security analysis,Operational costs,Cloud service provider,Attack graph,Computer security model,Security assessment,Cloud computing
Journal
Volume
ISSN
ISBN
abs/1903.04271
2324-898X
978-1-7281-2778-1
Citations 
PageRank 
References 
0
0.34
16
Authors
8
Name
Order
Citations
PageRank
SeoungMo An100.34
Taehoon Eom232.11
Jong Sou Park338953.95
Jin B. Hong412017.50
Armstrong Nhlabatsi5255.65
Noora Fetais632.76
Khaled M. Khan729529.63
Dong Seong Kim886693.34