A random number generating circuit comprises: the seed generating circuit which generates a seed; and a pseudo random number circuit which generates pseudo random numbers based on the seed generated by the seed generating circuit. The seed generating circuit has: an oscillating circuit which oscillates continuously or intermittently, and which outputs a digital data sequence; a smoothing circuit which outputs time series data by controlling appearance frequencies of "0" and "1" in the digital da...

A system collects entropy data and stores the entropy data in a nonvolatile memory. The entropy data stored in the nonvolatile memory is updated with newly collected entropy data. The entropy data stored in the nonvolatile memory is used to generate a string of random bits. The entropy data is collected from multiple sources within a computer system and may include data related to a processor in the computer system and an operating system executing on the computer system. The entropy data is mai...

A multi-scale shuffle is used in the generation of orthogonal and pseudo-orthogonal codes. A method for generating a family of pseudo-random orthogonal or pseudo-orthogonal code signals, comprises the steps of (1) generating a seed matrix of original dimensions, (2) performing a plurality of expansions on the seed matrix, each successive expansion producing a next generation matrix of larger dimensions, the last of the expansions including replication and shuffling of a parent generation matrix ...

A method for generating a set of random numbers with statistics represented by a cumulative density function (CDF) includes generating a set of uniformly spaced samples between an upper limit and a lower limit. Each of the uniformly spaced samples are then mapped to a corresponding value on a cumulative density function curve. The set of uniformly spaced samples are then scrambled to randomize the samples. Companding may also be incorporated in the sample generation process.

Embodiments for a gold code generator are generally described herein.

A multi-scale shuffle is used in the generation of orthogonal and pseudo-orthogonal codes. A method for generating a family of pseudo-random orthogonal or pseudo-orthogonal code signals, comprises the steps of (1) generating a seed matrix of original dimensions, (2) performing a plurality of expansions on the seed matrix, each successive expansion producing a next generation matrix of larger dimensions, the last of the expansions including replication and shuffling of a parent generation matrix ...

A method and apparatus processes a video image signal to generate one or more random number generator seeds. Preferably, the video image signal represents a scene that is both unpredictable and "live". As a result, potential interceptors of signals encrypted with a random number sequence derived from the seed will find it difficult, if not impossible, to determine the random number sequence. To further obscure the random number sequence from potential interceptors, a seed derived by processing a...

A process for generating a serial number from a random number is suitable for being used on a device that uses serial number in a bus. First, this process generates a serial number for use from a random number according to a seed number, and then it checks if this generated serial number is repeated in the bus. When this generated serial number is the same as the serial number corresponding to any other devices that are of the same kind as the above mentioned device in the bus, a new serial numb...

Disclosed herein are apparatuses and methods for generating pseudorandom numbers by making the existing ANSI and FIPS PRNGs forward secure and eliminating the need for re-keying them. A forward secure ANSI PRNG is created which includes an enhanced block cipher that is non-invertible even if the key becomes known and a function of the block cipher used in the existing ANSI PRNG. Additionally, the forward secure ANSI PRNG includes an enhanced next state that allows previous states to remain secre...

A method, and deterministic random bit generator system operating in accordance with the method, for generating cryptographic keys and similar secret cryptographic inputs which are hard to guess. A seed is input from an entropy source; and an initial state is generated as a function of the seed. When a request to generate a cryptographic key is received a current state, where the current state is initially the initial state, is mixed to generate an out put string and a next state and the current...