Cloud computing is a popular paradigm in information technology and computing as it offers numerous advantages in terms of economical saving and minimal management effort. Although elasticity and flexibility brings tremendous benefits, it still raises many information security issues due to its unique characteristic that allows ubiquitous computing. Therefore, the vulnerabilities and threats in cloud computing have to be identified and proper risk assessment mechanism has to be in place for better cloud computing management. Various quantitative and qualitative risk assessment models have been proposed but up to our knowledge, none of them is suitable for cloud computing environment. This paper, we compare and analyse the strengths and weaknesses of existing risk assessment models. We then propose a new risk assessment model that sufficiently address all the characteristics of cloud computing, which was not appeared in the existing models.
|Journal||Journal of Physics: Conference Series|
|Publication status||Published - 01 Jun 2018|
|Event||1st International Conference on Big Data and Cloud Computing, ICoBiC 2017 - Kuching, Sarawak, Malaysia|
Duration: 25 Nov 2017 → 27 Nov 2017
All Science Journal Classification (ASJC) codes
- Physics and Astronomy(all)