Araştırma Makalesi

SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems

Cilt: 9 Sayı: 3 30 Eylül 2022
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SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems

Öz

Cryptosystems using binary radix (bit) arrays must first meet the strict avalanche criterion, which prevents correlation between input and output values in order to resist differential attacks. For this criterion, which is also called confusion/diffusion and butterfly-effect in the common literature, it is expected that two inputs with only one-bit difference from each other will cause half the total number of bits to differ in the output bits. While the literature includes the difference of at least half of the output bits, it does not include that changing all the bits will cause the binary complement and thus another undesirable result. The Statistical Absolute Avalanche Criterion (SAAC) test proposed in this study allows the statistical determination of a lower limit and the establishment of hypotheses. The SAAC test is a tool that can be easily used in the analysis of cryptosystems, especially encryption methods and message hash functions.

Anahtar Kelimeler

Kaynakça

  1. C.E. Shannon, "A mathematical theory of communication.," Bell System Technical Journal, no. 27, pp. 379–423, 623–656, 1948.
  2. C.E. Shannon, "Communication theory of secrecy," Bell System Technical Journal, no. 28, pp. 656-715, 1949.
  3. A.J. Menezes, P.C. van Oorschot, and S.A. Vanstone, Handbook of Applied Cryptography., 1996.
  4. H. Feistel, "Cryptography and Computer Privacy," Scientific American, vol. 5, no. 228, 1973.
  5. A. F. Webster and Stafford E. Tavares, "On the design of S-boxes," Advances in Cryptology - Crypto '85, no. 218, pp. 523–534, 1985.
  6. Y. Wu, J.P. Noonan, and S. Agaian, "NPCR an UACI Randomness Tests for Image Encryption," Journal of Selected Areas in Telecommunications (JSAT), April 2011.
  7. J.C.H. Castro, J.M. Sierra, and A. Seznec, "The strict avalanche criterion randomness test," Inform. Process. Lett., no. 68, pp. 1-7, 2005.
  8. M. Ahmad, S. Khurana, S. Singh, and H. AlSharari, "A Simple Secure Hash Function Scheme Using Multiple Chaotic Maps," 3DR EXPRESS, vol. 8, no. 13, pp. 13-18, 2017.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Eylül 2022

Gönderilme Tarihi

13 Haziran 2022

Kabul Tarihi

21 Ağustos 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 9 Sayı: 3

Kaynak Göster

APA
Baysan, B., & Özekes, S. (2022). SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems. El-Cezeri, 9(3), 1136-1146. https://doi.org/10.31202/ecjse.1129922
AMA
1.Baysan B, Özekes S. SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems. ECJSE. 2022;9(3):1136-1146. doi:10.31202/ecjse.1129922
Chicago
Baysan, Burak, ve Serhat Özekes. 2022. “SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems”. El-Cezeri 9 (3): 1136-46. https://doi.org/10.31202/ecjse.1129922.
EndNote
Baysan B, Özekes S (01 Eylül 2022) SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems. El-Cezeri 9 3 1136–1146.
IEEE
[1]B. Baysan ve S. Özekes, “SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems”, ECJSE, c. 9, sy 3, ss. 1136–1146, Eyl. 2022, doi: 10.31202/ecjse.1129922.
ISNAD
Baysan, Burak - Özekes, Serhat. “SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems”. El-Cezeri 9/3 (01 Eylül 2022): 1136-1146. https://doi.org/10.31202/ecjse.1129922.
JAMA
1.Baysan B, Özekes S. SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems. ECJSE. 2022;9:1136–1146.
MLA
Baysan, Burak, ve Serhat Özekes. “SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems”. El-Cezeri, c. 9, sy 3, Eylül 2022, ss. 1136-4, doi:10.31202/ecjse.1129922.
Vancouver
1.Burak Baysan, Serhat Özekes. SAAC – Statistical absolute avalanche criterion test for analysis of cryptosystems. ECJSE. 01 Eylül 2022;9(3):1136-4. doi:10.31202/ecjse.1129922