pseudorandom bit generator

﻿
pseudorandom bit generator

English-Russian cryptological dictionary . 2014.

Смотреть что такое "pseudorandom bit generator" в других словарях:

• Pseudorandom number generator — A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG), is an algorithm for generating a sequence of numbers that approximates the properties of random numbers. The sequence is not truly random in… …   Wikipedia

• Cryptographically secure pseudorandom number generator — A cryptographically secure pseudo random number generator (CSPRNG) is a pseudo random number generator (PRNG) with properties that make it suitable for use in cryptography. Many aspects of cryptography require random numbers, for example: Key… …   Wikipedia

• Pseudorandom generator theorem — In computational complexity a distribution is considered pseudorandom if no efficient computation can distinguish it from the true uniform distribution by a non negligible advantage. Formally, a family of distributions Dn is pseudorandom if for… …   Wikipedia

• Pseudorandom noise — In cryptography, pseudorandom noise (PRN) is a signal similar to noise which satisfies one or more of the standard tests for statistical randomness. Although it seems to lack any definite pattern, pseudorandom noise consists of a… …   Wikipedia

• Bit Error Rate Test — BERT or Bit Error Rate Test is a testing method for digital communication circuits that uses predetermined stress patterns comprising of a sequence of logical ones and zeros generated by a pseudorandom binary sequence. A BERT Tester typically… …   Wikipedia

• Hardware random number generator — This SSL Accelerator computer card uses a hardware random number generator to generate cryptographic keys to encrypt data sent over computer networks. In computing, a hardware random number generator is an apparatus that generates random numbers… …   Wikipedia

• Naor-Reingold Pseudorandom Function — In 1997, Moni Naor and Omer Reingold described efficient constructions for various cryptographic primitives in private key as well as public key cryptography. Their result is the construction of an efficient pseudorandom function. Let p and l be… …   Wikipedia

• Random number generator attack — The security of cryptographic systems depends on some secret data that is known to authorized persons but unknown and unpredictable to others. To achieve this unpredictability, some randomization is typically employed. Modern cryptographic… …   Wikipedia

• Shrinking generator — In cryptography, the shrinking generator is a form of pseudorandom number generator intended to be used in a stream cipher. It was published in Crypto 1993 by Don Coppersmith, Hugo Krawczyk, and Yishay Mansour.The shrinking generator uses two… …   Wikipedia

• Alternating step generator — In cryptography, an alternating step generator (ASG) is a cryptographic pseudorandom number generator intended to be used in a stream cipher. The design was published in 1987 by C. G. Günther. It is also known as the alternating stop and go… …   Wikipedia

• Self-shrinking generator — A self shrinking generator is a pseudorandom number generator and a variant of the shrinking generator concept. It is a generator used in cryptography and has reasonable security properties when used in conjunction with a Linear feedback shift… …   Wikipedia

Поделиться ссылкой на выделенное

Прямая ссылка:
Нажмите правой клавишей мыши и выберите «Копировать ссылку»

We are using cookies for the best presentation of our site. Continuing to use this site, you agree with this.
{"ft_lang_label":"__label__en","ft_lang_prob":0.7887638,"math_prob":0.7926862,"size":3306,"snap":"2019-43-2019-47","text_gpt3_token_len":666,"char_repetition_ratio":0.22501515,"word_repetition_ratio":0.03285421,"special_character_ratio":0.1814882,"punctuation_ratio":0.06692913,"nsfw_num_words":0,"has_unicode_error":false,"math_prob_llama3":0.958963,"pos_list":[0],"im_url_duplicate_count":[null],"WARC_HEADER":"{\"WARC-Type\":\"response\",\"WARC-Date\":\"2019-10-22T04:15:14Z\",\"WARC-Record-ID\":\"<urn:uuid:a5918874-084e-4daa-ae27-eb0a5fd68863>\",\"Content-Length\":\"50614\",\"Content-Type\":\"application/http; msgtype=response\",\"WARC-Warcinfo-ID\":\"<urn:uuid:d7520e14-70b3-4fc3-81e2-224384b550fa>\",\"WARC-Concurrent-To\":\"<urn:uuid:47815606-38d7-4b9a-9952-b3caa71fdfc1>\",\"WARC-IP-Address\":\"95.217.42.32\",\"WARC-Target-URI\":\"https://cryptological_en_ru.academic.ru/3788/pseudorandom_bit_generator\",\"WARC-Payload-Digest\":\"sha1:LGXGGZTUUZSI457NI4D4KTGBJQSI2634\",\"WARC-Block-Digest\":\"sha1:EF3PSMGB2KGB2DNZW4ZWFB7W3Y6TENLL\",\"WARC-Identified-Payload-Type\":\"text/html\",\"warc_filename\":\"/cc_download/warc_2019/CC-MAIN-2019-43/CC-MAIN-2019-43_segments_1570987798619.84_warc_CC-MAIN-20191022030805-20191022054305-00269.warc.gz\"}"}