Abstract: Systems, methods, network devices, and machine-readable media disclosed herein include executing a secure algorithm for computing on a plurality of machines in a cluster by receiving a large input message and dividing the large input message into a plurality of initial input messages, computing an encryption of initial input messages, and evaluating a cluster computing circuit using a homomorphic encryption scheme.

Abstract: Certain embodiments of the present invention involve a method of storing an erasure coded copy of block data, and storing newly updated block data into a separate erasure-coded log structure. The method also includes auditing both the erasure copy of block data and the newly updated block data. The erasure copy of block data and the newly updated block data are probabilistically checked during the audit. In certain other embodiments the newly updated block data is stored in a log structure.

Abstract: Certain embodiments of the present invention involve a method of storing an erasure coded copy of block data, and storing newly updated block data into a separate erasure-coded log structure. The method also includes auditing both the erasure copy of block data and the newly updated block data. The erasure copy of block data and the newly updated block data are probabilistically checked during the audit. In certain other embodiments the newly updated block data is stored in a log structure.

Abstract: Methods and systems of concealing access patterns to data storage, such as within servers of a cloud computing environment are presented. Server data storage is securely partitioned into smaller electronic data storage partitions of predetermined size. The client side maintains a shuffling buffer and position map for these blocks as stored on the electronic data storage partitions of the server. Concealment is performed with respect to accesses from the client to server using an oblivious sorting protocol. Access operation is concealed with each block being randomly assigned to any of the data storage partitions, and whenever a block is accessed, the block is logically removed from its current partition and logically assigned to a fresh random partition selected from all partitions, while the client maintains tracking of which partition each block is associated with at any point of time.

Abstract: Methods and systems of concealing access patterns to data storage, such as within servers of a cloud computing environment are presented. Server data storage is securely partitioned into smaller electronic data storage partitions of predetermined size. The client side maintains a shuffling buffer and position map for these blocks as stored on the electronic data storage partitions of the server. Concealment is performed with respect to accesses from the client to server using an oblivious sorting protocol. Access operation is concealed with each block being randomly assigned to any of the data storage partitions, and whenever a block is accessed, the block is logically removed from its current partition and logically assigned to a fresh random partition selected from all partitions, while the client maintains tracking of which partition each block is associated with at any point of time.