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Optimal Key Generation for Data Sanitization and Restoration of Cloud Data: Future of Financial Cyber Security
International Journal of Information Technology & Decision Making ( IF 4.9 ) Pub Date : 2020-05-31 , DOI: 10.1142/s0219622020500200
B. Balashunmugaraja 1 , T. R. Ganeshbabu 2
Affiliation  

Cloud security in finance is considered as the key importance, taking account of the aspect of critical data stored over cloud spaces within organizations all around the globe. They are chiefly relying on cloud computing to accelerate their business profitability and scale up their business processes with enhanced productivity coming through flexible work environments offered in cloud-run working systems. Hence, there is a prerequisite to contemplate cloud security in the entire financial service sector. Moreover, the main issue challenged by privacy and security is the presence of diverse chances to attack the sensitive data by cloud operators, which leads to double the user’s anxiety on the stored data. For solving this problem, the main intent of this paper is to develop an intelligent privacy preservation approach for data stored in the cloud sector, mainly the financial data. The proposed privacy preservation model involves two main phases: (a) data sanitization and (b) data restoration. In the sanitization process, the sensitive data is hidden, which prevents sensitive information from leaking on the cloud side. Further, the normal as well as the sensitive data is stored in a cloud environment. For the sanitization process, a key should be generated that depends on the new meta-heuristic algorithm called crossover improved-lion algorithm (CI-LA), which is inspired by the lion’s unique social behavior. During data restoration, the same key should be used for effectively restoring the original data. Here, the optimal key generation is done in such a way that the objective model involves the degree of modification, hiding rate, and information preservation rate, which effectively enhance the cyber security performance in the cloud.

中文翻译:

用于数据清理和云数据恢复的最佳密钥生成:金融网络安全的未来

考虑到存储在全球组织内云空间上的关键数据的方面,金融中的云安全被认为是关键。他们主要依靠云计算来加速其业务盈利能力并通过云运行工作系统中提供的灵活工作环境提高生产力来扩大业务流程。因此,在整个金融服务领域考虑云安全是一个先决条件。此外,隐私和安全面临的主要问题是云运营商攻击敏感数据的各种机会的存在,这导致用户对存储数据的焦虑加倍。为了解决这个问题,本文的主要目的是开发一种智能的隐私保护方法,用于存储在云部门的数据,主要是金融数据。所提出的隐私保护模型涉及两个主要阶段:(a)数据清理和(b)数据恢复。在清理过程中,将敏感数据隐藏起来,防止敏感信息在云端泄露。此外,普通数据和敏感数据都存储在云环境中。对于清理过程,应生成一个密钥,该密钥取决于称为交叉改进狮子算法 (CI-LA) 的新元启发式算法,该算法受到狮子独特的社会行为的启发。在数据恢复过程中,应该使用相同的密钥来有效地恢复原始数据。这里,
更新日期:2020-05-31
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