{'fraction_non_alphanumeric': 0.013034033309196235, 'fraction_numerical': 0.0, 'mean_word_length': 5.169642857142857, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A model for ensuring data security to distributed financial system in cloud storage

Cloud storage enables users to access their data from the cloud server and data needs to be secured in the cloud storage. One security service is not enough for ensuring adequate security to the financial data. In order to provide strong security, the proposed model introduces authentication and authorization method, encryption process, classification of data using decision tree and access control mechanism to the distributed financial system. For authentication and authorization purpose, we have proposed multilevel authentication and authorization method. For access control, we have proposed user-view mapping technique to restrict the user to a specific operation. For our proposed model SSE can be implemented to protect financial data. We have classified financial data according to the business value of data using a decision tree. High business valued data can be treated as private data, medium valued data can be treated as moderate and low valued data can be treated as public data. In this paper, we show that data classification together with other three level of security leads to improve the security of the distributed financial system in cloud storage. We have also analyzed data to do data classification that saves data processing overhead and enhance system performances.