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Abnormal Notion of Depicting Encrypted Result—Dynamic Usage of Multi-key Encryption Model (DUMKE)

  • K. BerlinEmail author
  • S. S. Dhenakaran
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1057)

Abstract

Cryptography is a robust security mechanism of converting the secret data into secured format to control unauthorized access, updating, and so on. Due to digitization, all business activities happened through online. So security or trust on transaction is most essential. So it is focused on to increase the strength of security by newly designed encryption mechanisms called dynamic usage of multi-key encryption. Before encryption, input data are compressed by the method of compression technique using matrix mathematical model (MMM). Compressed data are utilized by DUMKE. This mechanism is applied to three public-key algorithms for encryption. The final phase of the system is an outcome of DUMKE which is displayed as image.

Keywords

Matrix mathematical model Multi-key encryption Dynamic usage Compression 

References

  1. 1.
  2. 2.
    Rivest, R.L., Shamir, A., Adleman, L.: A Method for Obtaining Digital Signatures and Public Key Cryptosystems. National Science Foundation Grant MCS76-14294, pp. 1–15. Naval Research grant number N00014-67-A-0204-0063 (1977)Google Scholar
  3. 3.
    Aditya Sundar, N., Pandit Samuel, G., Naidu, Ch.D., Kishore, M.V.: A novel approach for secure communication of text using compression mechanism. Int. J. Comput. Sci. Technol., 243–247 (2015)Google Scholar
  4. 4.
    Elgedawy, I., Srivastava, B., Mittal, S.: Exploring Queriability of Encrypted and Compressed XML Data. CIS Northern Cyprus Campus, pp. 141–146 (2009)Google Scholar
  5. 5.
    Kodabagi, M.M., Jerabandi, M.V., Gadagin, N.: Multilevel Security and Compression of Text Data Using Bit Stuffing Huffman Coding. IEEE, pp. 800–804 (2015)Google Scholar
  6. 6.
    Wong, K.-W., Lin, Q., Chen, J.: Simultaneous arithmetic coding and encryption using chaotic maps. IEEE Trans. Circuits Systems-II, pp. 146–150 (2010)Google Scholar
  7. 7.
    Lakshmana Rao, K., Maringanti, H.B., Maram, B.: A sturdy compression based cryptography algorithm using self-key (ASCCA). Int. J. Eng. Technol., 1236–1245 (2015)Google Scholar
  8. 8.
    Patil, M., Sahu, V., Jain, A.: SMS Text Compression and Encryption on Android OS, IEEE (2014).  https://doi.org/10.1109/iccci.2014.6921767
  9. 9.
    Chen, J., Zhou, J., Wong, K.-W.: A modified chaos-based joint compression and encryption scheme. IEEE Trans. Circuits Systems-II, 110–114 (2011)CrossRefGoogle Scholar
  10. 10.
    Liu, L., Gai. J.: Bloom filter based index for query over encrypted character strings in database. In: 2009 World Congress on Computer Science and Information Engineering. IEEE, pp. 303–307 (2009)Google Scholar
  11. 11.
    Huang, Y.-M., Liang, Y.-C.: A secure arithmetic coding algorithm based on integer implementation. In: International Symposium on Communications & Information Technologies (ISCIT 2011). IEEE, pp. 518–521 (2011).  https://doi.org/10.1109/iscit.2011.6092162
  12. 12.
    Berlin, K., Dhenakaran, S.S.: A novel encryption technique for securing text files. Int. J. Adv. Res. Trends Eng. Technol. 3(20), 68–72 (2016)Google Scholar
  13. 13.
    Berlin, K., Dhenakaran, S.S.: A novel compression technique for text files using matrix mathematical model. In: Proceedings of IETE ICRA-2016. ISBN: 978-93-80609-35-5Google Scholar
  14. 14.
  15. 15.

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer ScienceAlagappa UniversityKaraikudiIndia

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