Towards Security Effectiveness Evaluation for Cloud Services Selection following a Risk-Driven Approach

Cloud computing is gaining a lot of popularity with an increasing number of services available in the market. This has rendered services selection and evaluation a difficult and challenging task, particularly for security-based evaluation. A key problem with much of the literature on cloud services security evaluation is that it fails to consider the overall evaluation context given the cloud characteristics and the underlying influence factors including threats, vulnerabilities, and security controls. In this paper, we propose a holistic risk-driven security evaluation approach for cloud services selection. We first use fuzzy DEMATEL method to jointly assess the likelihood and impact of threats with respect to the cloud service types, the exploitability of vulnerabilities to the identified threats, and the effectiveness of security controls in mitigating those vulnerabilities. Consequently, the overall diffusion of risk is captured via the relations across these concepts, which is leveraged to filter and prioritize the most critical security controls. The selected controls were then weighted using a combination of fuzzy DEMATEL and fuzzy ANP methods based on several factors, including their effectiveness in preventing the identified risks, user’s preferences and level of control (i.e., responsibilities). The latter denotes how much control a cloud user is transferring to the cloud provider. To enhance the reliability of the results, the subjective weights were integrated with objective weights using the Entropy method. Finally, the TOPSIS method was employed for services ranking and the Improvement Gap Analysis (IGA) method was leveraged to provide more insights on the strength and weaknesses of the selected services. An illustrative example is given to demonstrate the application of the proposed framework.

@article{Maroc2020,
  title     = {Towards Security Effectiveness Evaluation for Cloud Services Selection following a Risk-Driven Approach},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {1},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Sarah Maroc and Jian Biao Zhang},
  doi       = {10.14569/IJACSA.2020.0110103},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110103}
}