A secure order-preserving indexing scheme for outsourced data

Somayeh Sobati Moghadam, G. Gavin, J. Darmont
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引用次数: 4

Abstract

Cloud computing offers the opportunity of data outsourcing as well as data management. However, because of various privacy issues, confidential data must be encrypted before being outsourced to the cloud. But query processing over encrypted data without decrypting data is a very challenging task. Property-preserving encryption schemes allow encrypting data while still enabling efficient querying over encrypted data. The inherent merits of property-preserving encryption schemes make them very suitable and efficient for cloud data outsourcing. However, the security of such schemes is still a challenge because they are vulnerable to statistical attacks. We present a new order-preserving scheme for indexing encrypted data, as an alternative to propertypreserving schemes, which hides data frequency to achieve a strictly stronger notion of security. The proposed indexing method is secure against statistical attacks. Hence, data cannot be recovered from indexes. Moreover, our scheme is still efficient for query processing.
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外包数据的安全顺序保持索引方案
云计算提供了数据外包和数据管理的机会。然而,由于各种隐私问题,机密数据必须在外包给云之前进行加密。但是在不解密数据的情况下对加密数据进行查询处理是一项非常具有挑战性的任务。保持属性的加密方案允许加密数据,同时仍然支持对加密数据的有效查询。属性保护加密方案的固有优点使其非常适合和高效地用于云数据外包。然而,这种方案的安全性仍然是一个挑战,因为它们很容易受到统计攻击。我们提出了一种新的顺序保持方案用于索引加密数据,作为属性保持方案的替代方案,它隐藏了数据频率以实现严格更强的安全概念。所提出的索引方法对统计攻击是安全的。因此,不能从索引中恢复数据。此外,我们的方案仍然是高效的查询处理。
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