AVOIDANCE OF DUPLICACY AND COMPELLING CLOUD SECURITY INDIFFERENT CLOUD SITUATIONS

Jibin Joy, Dr. S. Devaraju
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Abstract

Data deduplication is necessary for making data smaller and preventing duplication when transferring it. It is often used in cloud computing to increase the amount of data that can be transferred and reduce the amount of memory used. During the deduplication handle, delicate information integrity is safeguarded by means of an encryption approach, sometimes recently being redistributed. The SHA calculation is broadly utilized to store content information. The content is padded to make the security bits. During the deduplication handle, it computes the hash, which consists of hexadecimal, string, and integer information. The term "Hash-based deduplication" technique called hashing used to identify and remove duplicate records. The hash values of content information are important characteristics. Customers who share data with the cloud verify that copies of the data are stored in the cloud, unlike traditional methods of removing duplicate data. Strong limitations on virtualization include restricting the capacity of essential memory and preventing memory hindrance. Memory deduplication finds pages with the same content and combines them into a single information record to move forward performance whereas utilizing less memory. The MPT is used in cloud storage to remove duplicate information and store only one copy for multiple users. To keep cloud information safe, data is mixed up before and during deduplication.
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避免重复建设,提高云安全性能,避免云情况复杂化
重复数据删除是将数据变小并在传输数据时防止重复的必要手段。它通常用于云计算,以增加可传输的数据量并减少内存使用量。在重复数据删除过程中,会通过加密方法来保护微妙信息的完整性,有时还会在最近进行重新分配。SHA 计算广泛用于存储内容信息。对内容进行填充以获得安全位。在重复数据删除处理过程中,它会计算由十六进制、字符串和整数信息组成的哈希值。术语 "基于散列的重复数据删除 "技术称为散列技术,用于识别和删除重复记录。内容信息的哈希值是重要特征。与云共享数据的客户可验证数据副本是否存储在云中,这与删除重复数据的传统方法不同。虚拟化的强大限制包括限制基本内存的容量和防止内存阻碍。重复数据删除可以找到具有相同内容的页面,并将其合并为单一信息记录,从而提高性能,同时利用更少的内存。云存储中使用 MPT 来删除重复信息,并为多个用户只存储一份副本。为了保证云信息的安全,在重复数据删除之前和过程中,数据会被混合在一起。
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