A dynamic classification index to enhance data protection procedures in cloud-based environments

Security is one of the most challenging issues in cloud-based environments and the most important obstacle for advancement of IT-based on-demand services. Classification of data based on attributes is a challenging issues that can improve the rate of reliability and efficiency in cloud computing environments as an emerging technology. Accordingly, a dynamic index classification model has been presented in this paper to ensure data security in cloud computing environments based on their attributes. Index Classification (IC) value has been defined based on three parameters (i.e. data confidentiality, data integrity, and data availability) and various sub-parameters to classify data into 4 main groups. The evaluation procedure of the suggested model involves two main parameters: functionality, and security. Each parameter was examined by simulation processes to investigate strengths and weaknesses of this model in comparison with current models. In overall, the results show that this model has met defined demands of this research to enhance the reliability and efficiency of data protection in cloud computing environments.