h i g h l i g h t s • A searchable encryption is presented against both data and access pattern leakage. • A homomorphic exclusive-or (XOR) function is defined to enable the evaluation key to be calculated instead of storing. • An effective and feasible approach performs with a query of less than 60 milliseconds among 100,000 entries.
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 ciphertext 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.
Abstract:Next generation non-volatile memory (NVM) technologies will change the design of major operating system components and how applications will be written because it deviates from the volatility and capacity assumptions of primary memory in the conventional computer systems design. A program's persistent data and run-time objects that contain sensitive information and without proper security mechanisms in place, it exposes to critical attacks. In this paper, we will introduce Secure Object Stores (SOS), which is an object-based mechanism to access the NVM. We also illustrate different use-cases that can take advantage of the SOS.
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