Experimental Studies Of The Modern Symmetric Stream Ciphers

Gorbenko, I.D.; Kuznetsov, Alexandr; Tymchenko, Vladyslav; Gorbenko, Yurii Ivanovich; Kachko, O. G.

doi:10.1109/infocommst.2018.8632058

Cited by 14 publications

(9 citation statements)

References 4 publications

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“…In accordance with the methodology of statistical testing [8][9][10][11][12], experimental studies of cryptographic properties of different SSC were carried out. The work has tested the key streams of modern streaming ciphers: AES, CryptMT, DECIM, Enocoro, Grain, HC, KCipher, Mickey2, MUGI, Rabbit, RC4, Salsa20, Snow 2, Sosemanuk, Trivium, and proposed in [8][9][10][11][12] cipher "STRUMOK". The structure and basic transformations of the SSC "STRUMOK" are described in more detail in Chap.…”

Section: Results Of Experimental Studies Of Ssc Statistical Properties Using the Nist Sts Statistical Testing Packagementioning

confidence: 99%

“…In the papers [8][9][10][11][12], a technique for statistical testing of cryptographic algorithms was proposed, which consists in estimating the mathematical expectation of the number of tests passed by the investigated generator (crypto algorithm). It is with this approach of probabilistic value estimation that experimental studies of SSC cryptographic properties were carried out in this work.…”

Section: Methods Of Analysis Of Passing Statistical Testsmentioning

confidence: 99%

“…The following ciphers were involved in the experiment-the winners of the eSTREAM competition: HC, MICKEY, RABBIT, Salsa, SOSEMANUK, TRIVIUM; SNOW 2.0, AES and the promising stream "Stream" cipher, which was later adopted as the national standard of Ukraine by DSTU 8845 [8][9][10][11][12]. For the sake of clarity of the results of the study, it was decided to add to the general list of selected ciphers other versions of the ciphers: AES-128, AES-256, SNOW 2.0-128, SNOW 2.0-256, "Stream" 512, in order to demonstrate the relationship between speed and block size.…”

Section: The Essence Of the Methods Of Speed Characteristics Stream Ciphersmentioning

confidence: 99%

“…The accumulated experience of conducting statistical testing shows that the number of tests passed by the generator under study depends directly on the selected cryptographic algorithm output sequence. To ensure the reliability of the results of statistical testing in [8][9][10][11][12], it is proposed to estimate the mathematical expectation of the number of tests passed X i by the investigated generator (crypto algorithm), considering each test as a single observation (experience), i.e. as a specific implementation X.…”

Section: Nist Sts Statistical Test Packagementioning

confidence: 99%

“…10 Experimental results of the study of ciphers by the criterion of initialization/generation of key parameters (Intel Pentium P6200 2.13Gh)…”

mentioning

confidence: 99%

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Since the original sequences are generated using deterministic algorithms, sometimes there is a high probability of distinguishing such sequences from truly random sequences. In this case, the encryption algorithm is vulnerable to many cryptographic attacks. The simplest way to implement such attacks is to perform a statistical analysis of the source sequences produced by the encryption algorithm. As a rule, the internal structure of the cipher is not taken into account in statistical testing. Therefore, this type of testing can be considered as black box testing because the internal structure, the initial data used to initialize the internal state, or the steps of initializing the internal state of the cipher are not taken into account [1][2][3][4].When testing the statistical properties of stream ciphers, the general approach is to create a large number of key streams and apply some statistical tests to them. If the test results do not meet the requirements of the test, it is not considered that such a cipher is not resistant to attacks full recovery of key data or plaintext, but for such an algorithm encryption can be accurately asserted that the key sequence differs in its properties from the truly random.When conducting statistical analysis, it is important to consider the relationship between the key, the initialization vector, the internal state, and the key stream, since if the cryptanalyst performs a key sequence analysis, he should not obtain any information about the generator's internal state or the secret key. Therefore, the encryption algorithm must form a key sequence of sufficiently long length (greater than the probable length of plaintext) and having pseudo-random sequence properties [1,2,4].Usually the statistical results of sequence testing are compared with the theoretical distributions of truly random sequences. If there is a systematic deviation from the distribution of a truly random sequence, then the decision is made about the danger of the algorithm and its vulnerability to cryptographic attacks. It is

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