107 results about "Hardware random number generator" patented technology

The invention relates to a multiple-purpose safety device and cipher code generation method for calculating electronic payment cipher code, which comprises a central processor comprehensive control and calculation unit, a cipher code arithmetic assisting processor unit, a memory unit, a hardware random number generator unit and an interface control unit. Wherein, the cipher code arithmetic assisting processor unit is composed of an arithmetic operation module for a plurality of bank business electronic payment cipher codes; the central processor comprehensive control and calculation unit comprise a judgment sub-unit to judge the type of present request; the cipher code arithmetic assisting processor unit is controlled to automatically select and execute one of the plurality of electronic payment businesses. The cipher code generation method comprises the following procedures: receive a request data package sent from outside; judge the business type to be executed in the data package and select corresponding arithmetic module; after finishing the determination of business type, judge the operation type of the request to be executed in the request data package to conduct cipher code generation.

The invention relates to the technical field of circuits and discloses a true random number generator. The true random number generator comprises a random signal generation source circuit, a true random number generation circuit, a PRNG (pseudo random number generator) and a random number interceptor, wherein the random signal generation source circuit is used for generating random number generation source signals; the true random number generation circuit is used for sampling and diffusing the random number generation source signals and a true random number sequence is obtained; the PRNG is used for outputting the serial or parallel random number sequence according to the input true random number sequence; the random number interceptor is used for intercepting the random number sequence of the preset length from the random number sequence output from the PRNG according to the input true random number sequence and feeding back the intercepted random number sequence to the random signal generation source circuit; the random signal generation source circuit is used for adjusting the random number generation source signals according to the random number sequence fed back by the random number interceptor. The true random number generator can be realized through an ordinary logic device, the circuit structure is simple, the true random number generator is independent of the process and has good reusability, and a feedback mechanism is added, therefore, pseudo-randomness due to long-time working without feedback can be eliminated.

The invention discloses a true random number generator, comprising a stochastic source module and a post-processing module. The stochastic source module is used for generating digital signals having random characteristics and providing the digital signals for the post-processing module; the post-processing module carries out post-processing for the digital signals by using a loop code error-correcting method, thereby eliminating bias of data signals to obtain random number series. The stochastic source module can be composed of a plurality of sets of inverter oscillating rings, and the post-processing module is realized by a linear feedback shift register (LFSR). The TRNG (True Random Number Generator) has simple structure and only general digital logic devices are used, so the true random number generator has good technology weak correlation and can be rapidly transplanted in an integrated circuit design flow after prototype verification is carried out, thereby improving the efficiency of module design and reducing the development risk.

A random number generator has a simple configuration using known inexpensive electronic parts and can generate the tine physical random numbers at a required generator speed. Such a random number generator can provide the true physical random numbers to any sectors of society at dramatically low cost A random pulse generator comprises a thermal noise generating element (2) having a resistor, a conductor or a semiconductor such as a diode adapted to generate thermal noises when no electric current is supplied to them, an analog-amplifier circuit for amplifying the irregular potential generated from the thermal noise generating element and a waveform shaping circuit (6) adapted to take out the output of the amplifier circuit as random rectangular pulse signals. A thermal noise random number generator comprises, in addition to the above components, an n-bit counter (n being an integer) for measuring the dine interval between a random pulse signal output from the waveform shaping circuit (6) and the immediately succeeding random pulse signal and is adapted to output the count of the n-bit counter as natural random number.

The invention relates to a key storage method. The method comprises the following steps: generating a true random number by using a hardware random number generator, wherein the true random number isused as an encryption factor of the present storage; generating a seed by using the true random number, and substituting the seed into a linear feedback shift register to obtain a pseudo random number; performing an xor operation on a master key and the pseudo random number to obtain a random master key, and then encoding the random master key by using an error correcting code algorithm to obtainencoded data; performing private algorithm transformation on the true random number to obtain intermediate data, wherein the intermediate data are used as error locations of data to be stored to tamper the encoded data to obtain error code data; and performing encrypted storage on the error code data. According to the key storage method provided by the invention, the generated random number is hidden in the data to be protected, thereby improving the intensity of data randomization. In the case of limited storage resources, in order to prevent brute force attacks after ciphertext leakage, thedata are mixed with error codes, and the data are encrypted by using a private algorithm, so that the key storage is more secure.

The invention relates to a true random number generator, in particular to a random number generation method based on chaotic amplification quantum noise. The scheme mainly includes the following steps: Firstly, the proportion of electronic noise and quantum spontaneous emission noise in the initial steady state of chaotic laser without feedback is measured and analyzed, and the proportion of quantum noise entropy content is determined; The natural invariant probability distribution of the chaotic system is determined. Based on the distribution, the frame threshold is set to ensure that the distribution probability in each threshold interval is equally divided, the random bits are generated by binary conversion, and the true random sequences are extracted by the generalized hash function. The method of the invention realizes the effective improvement of the generation rate of the vacuum quantum random number, and provides a new method for preparing a high-entropy and high-reliability true random number generator.

The invention provides a key encryption and storage method. The key encryption and storage method comprises the following steps that a protective primary key is generated in a security module, and a plaintext of the protective primary key does not appear outside the security module; a hardware random number generator is utilized to generate a protective key group (containing a plurality of protective keys); the protective keys are encrypted and stored by the protective primary key through a CTR (Click Through Rate) (counter) mode; and a plurality of working keys are encrypted and stored by the protective keys (group) through the CTR mode. The working keys include an encryption key, an MAC (Media Access Control) key, an asymmetrical key and the like and can be generated through random numbers or in accordance with a certain operational rule.

A mobile device operating system pools any available entropy. The resulting entropy pool is stored in device memory. When storing entropy in memory, preferably memory addresses are randomly allocated to prevent an attacker from capturing entropy that might have already been used to create a random number. The stored entropy pool provides a readily-available entropy source for any entropy required by the operating system or device applications. Then, when a cryptographic application requests a true random number, the operating system checks to determine whether the pool has available entropy and, if so, a portion of the entropy is provided to enable generation (e.g., by a TRNG) of a true random number that, in turn, may then be used for some cryptographic operation. After providing the entropy, the operating system clears the address locations that were used to provide it so that another entity cannot re-use the entropy.