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Animal mimicry for covert communication with arbitrary output distribution: beyond the assumption of ignorance

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EN
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EN
The paper describes a new method of embedding human communication in acoustic sequences mimicking animal communication. This is done to ensure a low probability of detection (LPD) transfer of covert messages. The proposed scheme mimics not only individual sounds, but also the imitated species’ communication structure. This paper presents a step forward in animal communication mimicry - from pure vocal imitation without regard for the plausibility of communication’s structure, through Zipf’s law-preserving scheme, to the mimicry of a known communication structure. Unlike previous methods, the updated scheme does not rely on third parties’ ignorance of the imitated species’ communication structure beyond Zipf’s law - instead, the new method enables one to encode information in a known zeroth-order Markov model. The paper describes a method of encoding an arbitrary message in a syntactically plausible, species-specific sequence of animal sounds through evolutionary means. A comparison with the previous iteration of the method is also presented.
Rocznik
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1--8
Opis fizyczny
Bibliogr. 10 poz., wykr.
Twórcy
Bibliografia
  • 1. S. Liu, G. Qiao, A. Ismail, Covert underwater acoustic communication using dolphin sounds, J Acoust Soc Am, 133(4) (2013) EL300 - EL306.
  • 2. A. Kershenbaum et al., Acoustic sequences in non-human animals: a tutorial review and prospectus, Biol Rev, 91(1) (2016) 13 - 52.
  • 3. B. McCowan, S. F. Hanser, L. R. Doyle, Quantitative tools for comparing animal communication systems: information theory applied to bottlenose dolphin whistle repertoires, Anim Behav, 57 (1999) 409 - 419.
  • 4. R. Ferrer-i-Cancho, B. McCowan, A law of word meaning in dolphin whistle types, Entropy, 11 (2009) 688 - 701.
  • 5. L. R. Doyle. Animal Communications, Information Theory, and the Search for Extraterrestrial Intelligence (SETI). [Online]. https://www.seti.org/setiinstitute/animal-communication-information-theory-and-seti.
  • 6. J. Kanwal, et al., Zipf's law of abbreviation and the principle of least effort language users optimise a miniature lexicon for efficient communication, Cognition, 165 (2017) 45 - 52.
  • 7. K. W. Zuber, K. J. Opieliński, Animal mimicry in covert underwater communication application of syntax generation and simulated genome method, in 2018 Joint Conference - Acoustics, Ustka, 2018, 1 - 5.
  • 8. K. Katahira et al., Complex sequencing rules of birdsong can be explained by simple hidden Markov processes, PLoS ONE, 6(9) (2011) 1 - 9.
  • 9. A. R. Luis, M. N. Couchinho, M. E. dos Santos, A quantitative analysis of pulsed signals emitted by wild bottlenose dolphins, PLOS one, 11(7) (2016) 1 - 11.
  • 10. L. R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, Proc. of the IEEE, 77(2) (1989) 257 - 286.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f08a3901-0fe3-437c-88dd-2d1290306fa2
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