大数据中不可信存储上的重复可扩展安全文件共享

S. Keerthana, C. Monisha, S. Priyanka, S. Veena
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引用次数: 0

摘要

重复数据删除为用户的敏感数据面临内部和外部攻击的风险提供了许多安全和隐私问题的好处。提供知识保密性的传统密写与知识重复数据删除不兼容。古代的秘密写作需要完全不同的用户用他们自己的密钥来编码他们的知识。因此,完全不同的用户的相同的知识副本可能会产生不同的密文,从而使重复数据删除无法实现。在创建重复数据删除成为可能的同时,聚合秘密写入已被计划用于加强知识保密性。它使用合流密钥对知识副本进行加密/解密,合流密钥通过计算信息副本内容的加密哈希价格获得。一旦生成密钥并进行加密,用户就可以保留密钥并将密文发送到云端。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
De duplication scalable secure file sharing on untrusted storage in big data
Data Deduplication provides lots of benefits to security and privacy issues which can arise as user's sensitive data at risk of within and out of doors attacks. Traditional secret writing that provides knowledge confidentiality is incompatible with knowledge deduplication. Ancient secret writing wants completely different users to encode their knowledge with their own keys. Thus, identical knowledge copies of completely different various users can result in different ciphertexts that makes Deduplication not possible. Convergent secret writing has been planned to enforce knowledge confidentiality whereas creating Deduplication possible. It encrypts/decrypts a knowledge copy with a confluent key, that is obtained by computing the cryptographical hash price of the content of the information copy. Once generation of key and encryption, the user can retain the keys and send ciphertext to cloud.
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