同态异或运算增强了云存储上的安全搜索

Shu Qin Ren, B. Tan, S. Sundaram, Taining Wang, Khin Mi Mi Aung
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引用次数: 6

摘要

企业云租户将以加密形式存储其外包的云数据,以保护数据隐私和安全。然而,结果往往是牺牲了数据搜索等灵活的数据访问功能。因此,企业租户需要云提供商提供安全的数据检索和计算解决方案,这将使他们能够利用云服务,而不会有将私有数据泄露给外部人员甚至服务提供商的风险。本文提出了一种异或(XOR)同态加密方案,以支持对加密数据的安全关键字搜索。该方案首先对数据进行加密,并对随机位串进行异或操作,实现数据的随机化,从而提出了一种新的数据保护方法。其次,由于随机化,该方案可以有效地保护传输中的数据免受密文分析等被动攻击。第三,该方案是轻量级的,只需要对称加密方案和按位操作,这需要以毫秒为单位的处理时间。
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Homomorphic exclusive-or operation enhance secure searching on cloud storage
Enterprise cloud tenants would store their outsourced cloud data in encrypted form for data privacy and security. However, flexible data access functions such as data searching is usually sacrificed as a result. Thus, enterprise tenants demand secure data retrieval and computation solution from the cloud provider, which will allow them to utilize cloud services without the risks of leaking private data to outsiders and even service providers. In this paper, we propose an exclusive-or (XOR) homomorphism encryption scheme to support secure keyword searching on encrypted data. First, this scheme specifies a new data protection method by encrypting the data and randomizing it by performing XOR operation with a random bit-string. Second, this scheme can effectively protect data-in-transit against passive attack such as cipher text analysis due to the randomization. Third, this scheme is lightweight and only requires a symmetric encryption scheme and bitwise operations, which requires processing time in the order of milliseconds.
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