연구 소개

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  • 연구 소개

CloudSafe: A Tool for an Automated Security Analysis for Cloud Computing

  • AI융합대학
  • 2022-08-05

엄태훈 교수의 연구실에서 발표한 논문 "CloudSafe: A Tool for an Automated Security Analysis for Cloud Computing"이 "IEEE Access" 2022년 호에 게재되었다.  

 

논문 사이트로 이동

 

 

[Figure 1] Overall framework architecture

 

 

 

Cloud computing has become widely adopted by businesses for hosting applications with improved performance at a fraction of the operational costs and complexity. The rise of cloud applications has been coupled with an increase in security threat vectors and vulnerabilities. In this paper, we propose a new security assessment and enforcement tool for the cloud named CloudSafe, which provides an automated security assessment and enforce best security control for the cloud by collating various security tools. To demonstrate the applicability and usability of CloudSafe, we implemented CloudSafe and conducted security assessment in Amazon AWS. Also, we analyzed four different security countermeasure options in depth; Vulnerability Patching, Virtual Patching, Network Hardening and Moving Target Defence. Virtual Patching, Network Hardening and Moving Target Defence were determined to be feasible with regards to deployment implementation for the project. Proof of concepts were developed demonstrating the effectiveness of each feasible countermeasure option. These results indicate that the proposed tool CloudSafe is effective and efficient in helping security administrators to select optimal countermeasures to secure their cloud by conducting an in-depth security assessment.