Strengthening INORMALS Using Context-based Natural Language Generation

Authors

  • Soni Yora Telkom University
  • Ari Moesriami Barmawi Graduate School of Informatics, School of Computing, Telkom University, Kawasan Pendidikan Telkom, Sukapura, Kec. Dayeuhkolot, Bandung 40257, Indonesia

DOI:

https://doi.org/10.5614/itbj.ict.res.appl.2022.16.2.1

Keywords:

Baudot-Murray code, INORMALS, linguistic-based steganography, natural language generation, sentence paraphrasing

Abstract

The noiseless steganography method that has been proposed by Wibowo can embed up to six characters in the provided cover text, but more than 59% of Indonesian words have a length of more than six characters, so there is room to improve Wibowo?s method. This paper proposes an improvement of Wibowo?s method by modifying the shifting codes and using context-based language generation. Based on 300 test messages, 99% of messages with more than six characters could be embedded by the proposed method, while using Wibowo?s method this was only 34%. Wibowo?s method can embed more than six characters only if the number of shifting codes is less than three, while the proposed method can embed more than six characters even if there are more than three shifting codes. Furthermore, the security for representing the number of code digits is increased by introducing a private key with the probability of guessing less than 1, while in Wibowo?s method this is 1. The naturalness of the cover sentences generated by the proposed method was maintained, which was about 99% when using the proposed method, while it was 98.61% when using Wibowo?s method.

Downloads

Download data is not yet available.

References

Desoky, A., NORMALS: Normal Linguistic Steganography Methodology, Journal of Information Hiding and Multimedia Signal Processing, 1(3), pp. 145-171, July 2010.

Desoky, A., Mature Linguistic Steganography Methodology (Matlist), Journal of Security and Communication Networks, 4(1), pp. 697-718, 2010.

Wibowo, A. & Barmawi, A.M., INORMALS Improving Using the Modified Baudot-Murray Code, ICCNS ?16: Proceedings of the 6th International Conference on Communication and Network Security, pp. 113-118, 2016.

Hull, T.E. & Dobell, A.R., Random Number Generators, Journal of Society for Industrial and Applied Mathematics, 4(3), pp. 230-254, July 1962.

Muhammad, A. & Barmawi, A.M., Paraphrasing Method Based on Contextual Synonym Substitution, Journal of ICT Research and Applications, 13(3), pp. 257-282, 2019.

Alwi, H., Dardjowidjojo, S., Lapoliwa, H. & Moeliono, A.M., Indonesian Dictionary, Ed. 4, Balai Pustaka, 2012. (Text in Indonesian)

Sneddon, J.N., Adelaar, A., Djenar, D.N. & Ewing, M.C., Indonesian Reference Grammar, Ed. 2, Allen & Unwin, 2008.

Chang, C.Y. & Clark, S., Practical Linguistic Steganography using Contextual Synonym Substitution and a Novel Vertex Coding Method, Journal of Computational Linguistics, 40(2), pp. 403-448, 2013.

Reiter, E. & Dale, R., Building Natural Language Generation Systems, The Press Syndicate of the University of Cambridge, 2000.

Muhammad, A. & Kamariah, K. Banjarese Sentence Parser Using PC-PATR Parser, Jurnal Linguistik Komputasional, 3(1), pp. 20-23, 2020. (Text in Indonesian)

Jurafsky, D. & Martin, J.H., Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Ed. 2, Prentice Hall, 2008.

Hammarstr, H., Rarities in Numeral Systems, Rethinking Universals, pp. 11-60, 2010.

Hunt, C., TCP/IP Network Administration, ed. 3, O?Reilly, 2002.

Mozilla Documentation, HTTP Response Status Codes, https://developer.mozilla.org/enUS/docs/Web/HTTP/Status#client error responses, (7 February 2021).

Downloads

Published

2022-08-31

How to Cite

Yora, S., & Barmawi, A. M. (2022). Strengthening INORMALS Using Context-based Natural Language Generation. Journal of ICT Research and Applications, 16(2), 101-122. https://doi.org/10.5614/itbj.ict.res.appl.2022.16.2.1

Issue

Section

Articles