New Secure Block Cipher for Critical Applications: Design, Implementation, Speed and Security Analysis

  • Sergiy GnatyukEmail author
  • Berik Akhmetov
  • Valeriy Kozlovskyi
  • Vasyl Kinzeryavyy
  • Marek Aleksander
  • Dmytro Prysiazhnyi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1126)


Most of known methods for confidentiality and privacy ensuring don’t provide high-security level against cyberattacks based on linear and differential cryptanalysis and the required cryptographic data processing speed. In view of this, the cryptographic security method for critical infrastructure systems has been developed. On the basis of this method, the Luna-2k17 block cipher was designed. The specifications of this cipher are given in this paper. Also, high bound values of parameters characterizing its practical security against cyberattacks of mentioned categories of cryptanalysis are calculated. Under the same conditions, to evaluate the speed characteristics of ciphers experimental studies were conducted. Results of experiments showed that the Luna-2k17 cipher is faster than GOST 28147-89 cipher approximately in 3.11 times as well as in 1,27 times for the Kalyna and AES.


Confidentiality and privacy Cryptography Block cipher Linear cryptoanalysis Differential cryptoanalysis Critical applications 



This scientific work was financially supported as a part of Ukrainian Young Scientists Project of Ministry of Education and Science of Ukraine [№ 0117U006770].


  1. 1.
    Gnatyuk, S.: Critical Aviation Information Systems Cybersecurity. Meeting Security Challenges Through Data Analytics and Decision Support. NATO Science for Peace and Security Series – D: Information and Communication Security, vol. 47, № 3, pp. 308–316. IOS Press Ebooks (2016)Google Scholar
  2. 2.
    Gnatyuk, S., Aleksander, M., Sydorenko, V.: Unified data model for defining state critical information infrastructure in civil aviation. In: IEEE 9th International Conference on Dependable Systems, Services and Technologies, pp. 37–42 (2018)Google Scholar
  3. 3.
    Aleksander, M., Dubchak, L., Chyzh, V., Naglik, A., et al.: Implementation technology software-defined networking in wireless sensor networks. In: Proceedings of 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Warsaw, Poland, 24–26 September (2015)Google Scholar
  4. 4.
    Gnatyuk, S., Okhrimenko, A., Kovtun, M., Gancarczyk, T., Karpinskyi, V.: Method of algorithm building for modular reducing by irreducible polynomial. In: Proceedings of the 16th International Conference on Control, Automation and Systems, Gyeongju, Korea, 16–19 October 2016, pp. 1476–1479 (2016)Google Scholar
  5. 5.
    Hu, Z., Gnatyuk, S., Kovtun, M., Seilova, N.: Method of searching birationally equivalent edwards curves over binary fields. Adv. Intell. Syst. Comput. 754, 309–319 (2018)Google Scholar
  6. 6.
    Biham, E., Shamir, A.: Differential cryptanalysis of DES-like cryptosystems. J. Cryptol. 4(1), 3–72 (1991)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Lai, X., Massey, J.L., Murphy, S.: Markov ciphers and differential cryptanalysis. In: Proceedings of the Advances in Cryptology – EUROCRYPT 1991, pp. 17–38. Springer (1991)Google Scholar
  8. 8.
    Matsui, M.: Linear cryptanalysis methods for DES cipher. In: Proceedings of the Advances in Cryptology – EUROCRYPT 1993, pp. 386–397. Springer (1994)Google Scholar
  9. 9.
    Gnatyuk, S., Kinzeryavyy, V., Iavich, M., Prysiazhnyi, D., Yubuzova, Kh.: High-performance reliable block encryption algorithms secured against linear and differential cryptanalytic attacks. In: CEUR Workshop Proceedings, vol. 2104, pp. 657–668 (2018)Google Scholar
  10. 10.
    Alekseichuk, A., Kovalchuk, L., Skrynnik, E.: Rating of practical resistance of Kalyna block cipher relative to the difference methods, linear cryptanalysis and algebraic attacks based on homomorphisms. Appl. Radio Electron. 7(3), 203–209 (2008)Google Scholar
  11. 11.
    Gaeini, A., Mirghadri, A., Jandaghi, G., Keshavarzi, B.: Comparing some pseudo-random number generators and cryptography algorithms using a general evaluation pattern. Int. J. Inf. Technol. Comput. Sci. (IJITCS) 8(9), 25–31 (2016)Google Scholar
  12. 12.
    Gupta, L.M., Garg, H., Samad, A.: An improved DNA based security model using reduced cipher text technique. Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 11(7), 13–20 (2019)Google Scholar
  13. 13.
    Gnatyuk, S., Kinzeryavyy, V., Kyrychenko, K., et al.: Secure hash function constructing for future communication systems and networks. In: Advances in Intelligent Systems and Computing, vol. 902, pp. 561–569 (2019)Google Scholar
  14. 14.
    Dychka, I., Tereikovskyi, I., Tereikovska, L., Pogorelov, V., Mussiraliyeva, S.: Deobfuscation of computer virus malware code with value state dependence graph. In: Advances in Intelligent Systems and Computing, vol. 754, pp. 370–379 (2018)Google Scholar
  15. 15.
    Dawood, O.A., Rahma, A.M., Hossen, A.M.: The new block cipher design (tigris cipher). Int. J. Comput. Netw. Inf. Secur. (IJCNIS) 7(12), 10–18 (2015)Google Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Sergiy Gnatyuk
    • 1
    • 2
    Email author
  • Berik Akhmetov
    • 2
  • Valeriy Kozlovskyi
    • 1
  • Vasyl Kinzeryavyy
    • 1
  • Marek Aleksander
    • 3
  • Dmytro Prysiazhnyi
    • 1
  1. 1.National Aviation UniversityKyivUkraine
  2. 2.Yessenov UniversityAktauKazakhstan
  3. 3.State Higher Vocational School in Nowy SączNowy SączPoland

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