Data preservation is the mechanism of protecting and safeguarding the confidentiality and integrity of data. Data stored in huge databases may contain metadata, elements that may be imprecise and unstable, It may include sensitive data, personal profiles and so on, which is vulnerable to third parties such as hackers or attackers. They may misuse the data and as a consequence of this the confidentiality and privacy of the data gets lost. There is a need to conserve the data and make it available for reuse when needed. Hence, it needs a proficient method to maintain and protect individuals' data privacy regarding confidentiality and reliability. This paper intends to develop an advanced model for privacy preservation of huge data with the accomplishment of two stages, namely data sanitization and data restoration. Data sanitization process preserves the safety of sensitive data stored in huge databases, by means of hiding those sensitive data from unauthorized users. Data restoration is the process of recovering or restoring of data that is sanitized at the sender side. Concerning the secrecy, there is a need for an optimal key to hide the sensitive data at sender as well as receiver side. Subsequent to the data sanitization, it requires the same key to restore the sanitized data. Thus, the optimal key generation plays a vital role to maintain privacy preservation. In order to choose an optimal key, a modified Rider optimization Algorithm (ROA) named as Randomized ROA (RROA) model is implemented in this work. Furthermore, the efficiency of the proposed work is compared over the state‐of‐the‐arts models by concerning the sanitization as well as restoration efficiency.

中文翻译：

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使用改进的骑手优化算法保护数据的隐私：最佳数据清理和恢复模型

数据保存是保护和维护数据的机密性和完整性的机制。大型数据库中存储的数据可能包含元数据，可能不精确且不稳定的元素，还可能包含敏感数据，个人资料等，这些数据容易受到第三方（例如黑客或攻击者）的攻击。他们可能会滥用数据，并因此而丢失数据的机密性和隐私性。需要保存数据，并在需要时使其可重用。因此，需要一种有效的方法来维护和保护有关机密性和可靠性的个人数据隐私。本文旨在建立一个高级模型，以完成数据净化和数据恢复两个阶段，从而保护大数据的隐私。数据清理过程通过隐藏未经授权的用户的敏感数据，从而保留了存储在大型数据库中的敏感数据的安全性。数据恢复是在发送方进行清理的数据恢复或恢复过程。关于保密性，需要一种最佳密钥来在发送方和接收方隐藏敏感数据。数据清理之后，需要相同的密钥来恢复清理后的数据。因此，最佳密钥生成对于维护隐私保护起着至关重要的作用。为了选择最佳密钥，在这项工作中实现了一种名为“随机ROA（RROA）”模型的改进的Rider优化算法（ROA）。此外，