8 results about "Pseudo randomness" patented technology

The invention discloses a pseudo-random number generation method, computing equipment and a pseudo-random number generator, and the method comprises the steps: determining an initial state according to a random number seed; multiple rounds of iteration generation are conducted through the initial state, multiple pseudo-random numbers are generated, any round of iteration generation specifically comprises the steps that a preset permutation function is used for conducting permutation processing on the generation state corresponding to the current round, a processing result is determined, the generation state of the first round is the initial state, and the generation state of the second round is the initial state; the permutation function has pseudo-randomness; and intercepting the processing result, determining the pseudo-random number corresponding to the current round, and taking the processing result as the generation state corresponding to the next round of the current round, so that the pseudo-random number stream with the side channel attack defense capability can be quickly and efficiently generated under the condition of not replacing the random number seed. The method can cope with a large amount of requirements of pseudo-random numbers meeting security in scenes such as privacy calculation and the like.

The invention discloses a chaotic sequence generation method and system based on cosine index discrete memristors and a data chaotic encryption method.In the chaotic sequence generation method, two cosine index discrete memristors are connected in parallel to form a chaotic mapping system, and outputs of the two cosine index discrete memristors are linearly scaled and then added to obtain a chaotic value; the chaotic value of each iteration is obtained through multiple iterative calculations, the chaotic values of each iteration are arranged in sequence to obtain a chaotic sequence, and the system is used for realizing the chaotic generation method. And performing operation on the obtained chaos sequence and plaintext data to realize chaos encryption of the plaintext data. The chaos sequence generated by the method has good pseudo-randomness, so that the security is improved when the chaos sequence is used for data encryption.

The invention discloses an RGB-D image encryption and decryption technology based on two-dimensional hyper-chaotic mapping and quaternion discrete cosine transform. The encryption method comprises the following steps: 1) designing a new two-dimensional hyper-chaotic mapping 2D-FLM through composite Fuch mapping and Logistic mapping; 2) carrying out RGB-D image encryption processing based on two-dimensional hyperchaotic mapping 2D-FLM and quaternion discrete cosine transform; and 3) carrying out RGB-D image decryption processing. According to the technology of the invention, through quaternion discrete cosine transform, an RGB image and a depth image are uniformly expressed as a quaternion vector for encryption processing, so that collaborative transformation and unified encryption of heterogeneous multichannel data are realized, and encryption operation is executed by adopting designed 2D-FLM mapping. The pseudo-randomness and the unpredictability are enhanced while the key space (10116) of the system is expanded, and common password attacks can be effectively resisted; according to the encryption strategy, dynamic characteristic parameters related to the plaintext are introduced in the key design, so that the key and the plaintext content are tightly coupled and can dynamically change along with the input image, known plaintext attacks and selected plaintext attacks can be effectively prevented, and the security and reliability of the system are further enhanced.

The application discloses a random number generation method, device and electronic equipment. The method comprises the following steps: in response to a first instruction of a target object, acquiring wideband data and a timestamp of a terminal device; determining the number of layers of a target model according to the wideband data and the timestamp, and determining the target model based on the number of layers, wherein the target model is used to represent binomial coefficients arranged in the form of a target geometric figure; and generating a random number according to the target model, wherein the random number is used for data encryption at least. The application solves the technical problem that most of the random numbers generated in the prior art are pseudo-random numbers, which cannot guarantee the security of the random numbers.

This invention discloses an integrated detection and interference waveform design method based on chaotic sequences. It utilizes the Logistic mapping in a one-dimensional chaotic sequence to design a chaotic binary phase-coded signal sequence. An integrated transmitted radio frequency signal is designed using this chaotic binary phase-coded signal sequence, leveraging the strong pseudo-randomness of chaotic sequences to suppress noise interference against non-cooperative signals. Upon detecting a non-cooperative signal, the integrated signal transmitter transmits the integrated signal into space according to the same pulse repetition period, number of pulses, and carrier frequency as the detected signal. The radar receiver performs down-mixing, digital sampling, and matched filtering on the received signal to extract echo delay and Doppler frequency information, and performs constant false alarm rate (CFAR) detection. This invention achieves reliable interference functionality while ensuring radar detection capabilities by utilizing a chaotic sequence generation method.

The invention discloses a language data translation method and system based on visual process configuration, which can realize safe key distribution based on quantum key negotiation and based on an inaccurate measurement principle and an unclonable theorem of quantum mechanics, and radically solve the problem of key leakage. Chaotic mapping has extreme sensitivity and pseudo-randomness to an initial value and a control parameter, and a sequence generated by the chaotic mapping can be used for encryption parameter optimization, so that the anti-cracking capability is improved; and the visual process configuration can meet the customized requirements of the user.

The invention relates to a device and to a method, in particular to a computer-implemented method, for the distributed generation of relevant pseudo-randomness, in which a set of instances for secret sharing of a function is specified, each instance comprising a pair of a function of sub-information for calculating the relevant pseudo-randomness and an input value for the function, wherein a splitting of the set into the subset is provided (902), the splitting enabling calculation of the result of the plurality of instances at least partially in a temporally overlapping manner, the transmission of at least one message via the communication connection being prompted, or performing at least partially temporally overlapping calculations (904) of results from at least a portion of the instances of the subset for distributed generation of related pseudo-randomness in response to receipt of at least one message via the communication connection, wherein the at least one message includes or identifies a program for distributed generation of associated pseudo-randomness based on the splitting.

The application discloses an image interference method based on a chaotic PGD algorithm and relates to the technical field of image interference.The application is based on a PGD algorithm, combines the pseudo-randomness, bounded ergodicity and complex dynamic characteristics of a chaotic system, introduces chaotic initial disturbance and chaotic variable step length, combines the characteristics of a non-target attack, adds a PSNR mechanism, so that the chaotic PGD algorithm overcomes the parameter limitation in the traditional PGD algorithm, and the algorithm performance is significantly improved.Compared with the traditional PGD algorithm, the advantage of the chaotic PGD algorithm is that, after the same input image is interfered, the chaotic PGD algorithm can make a target detection model produce the same error detection result, but different prediction probabilities, and even lead to completely different error detection results.