Abstract: A computing system includes: a control unit configured to: determine a protocol profile including a first protocol and a second protocol for communicating between a first device and a second device, generate a unified-protocol privacy mechanism for a privacy protection scenario, the unified-protocol privacy mechanism based on combining the first protocol and the second protocol; and a communication unit, coupled to the control unit, configured to communicate content information according to the unified-protocol privacy mechanism between the first device and the second device.

Abstract: A transformation function that satisfies at least linearity and convolution can be used to encrypt data. The transformation function can, for example, be a DFT with one or more evaluation points that can be kept secret for encryption. The transformation function can effectively serve as a transform map and can be used to achieve fully homographic encryption in a system where encrypted data can be manipulated by applying one or more operations and the resulting encrypted data can be decrypted by applying the inverse of the transformation function and/or transformation map. A transformation function that satisfies at least linearity and convolution can be used for various applications, including, for example, private/public key decryption schemes, a signature schemes, database query and search schemes, as well as various applications of homomorphic operations.

Abstract: A system for equality testing, the system comprising a first client device including a first private data unit, a second client device including a second private data unit, and a server. The server receives a first obfuscated data unit corresponding to the first private data unit from the first client device, and a second obfuscated data unit corresponding to the second private data unit from the second client device. The server performs a vector calculation based on the first and second obfuscated data units to generate a combination of the first and second obfuscated data units. The server sends the combination to the first client device. The first client device is configured to determine whether the first private data unit is equal to the second private data unit based on the combination.

Abstract: A computing system includes: a communication unit configured to: communicate a cell location A without a grid location A for identifying one of grid cells where a current location A is located, communicate a cell location B with a grid location B for identifying one of grid areas with one of the grid cells where a current location B is located, and a control unit, coupled to the communication unit, configured to: generate a grid identification prediction based on predicting a grid identification of one of the grid areas where the cell location A is located nearest to the cell location B, and generate a proximity result based on the grid identification prediction matching the grid location A for determining whether the current location A is near the current location B.

Abstract: A computing system includes: a control unit configured to: determine a protocol profile including a first protocol and a second protocol for communicating between a first device and a second device, generate a unified-protocol privacy mechanism for a privacy protection scenario, the unified-protocol privacy mechanism based on combining the first protocol and the second protocol; and a communication unit, coupled to the control unit, configured to communicate content information according to the unified-protocol privacy mechanism between the first device and the second device.

Abstract: A computing system includes: a communication unit configured to: communicate a cell location A without a grid location A for identifying one of grid cells where a current location A is located, communicate a cell location B with a grid location B for identifying one of grid areas with one of the grid cells where a current location B is located, and a control unit, coupled to the communication unit, configured to: generate a grid identification prediction based on predicting a grid identification of one of the grid areas where the cell location A is located nearest to the cell location B, and generate a proximity result based on the grid identification prediction matching the grid location A for determining whether the current location A is near the current location B.

Abstract: A new hardware architecture is disclosed that performs the modular exponentiation operation, i.e., the computation of c=me mod n where c, m, e, n are large integers. The modular exponentiation operation is the most common operation in public-key cryptography. The new method, named the Spectral Modular Exponentiation method, uses the Discrete Fourier Transform over a finite ring, and relies on new techniques to perform the modular multiplication and reduction operations. The method yields an efficient and highly parallel architecture for hardware implementations of public-key cryptosystems which use the modular exponentiation operation as the basic step, such as the RSA and Diffie-Hellman algorithms. The method is extended to perform the multiplication operation in extension fields which is necessary to perform exponentiation or various other operations over these extension fields.

Abstract: A system for equality testing, the system comprising a first client device including a first private data unit, a second client device including a second private data unit, and a server. The server receives a first obfuscated data unit corresponding to the first private data unit from the first client device, and a second obfuscated data unit corresponding to the second private data unit from the second client device. The server performs a vector calculation based on the first and second obfuscated data units to generate a combination of the first and second obfuscated data units. The server sends the combination to the first client device. The first client device is configured to determine whether the first private data unit is equal to the second private data unit based on the combination.