A Comprehensive Review of Existing Risk Assessment Models in Cloud Computing

Ahmad Amini, Norziana Jamil

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number012004
JournalJournal of Physics: Conference Series
Volume1018
Issue number1
DOIs
Publication statusPublished - 01 Jun 2018
Event1st International Conference on Big Data and Cloud Computing, ICoBiC 2017 - Kuching, Sarawak, Malaysia
Duration: 25 Nov 201727 Nov 2017

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All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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