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Human Odor Security Using E-nose

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Big Data and Cloud Computing (ICBCC 2022)

Abstract

This paper presents an innovative security system based on E-nose to optimize the edge-to-edge encryption for highly vulnerable to security threats. The idea of this system is to convert human odors into signals. The signals are converted into binary codes in order to provide high security in authentication of the user. In this way, binary codes are converted to alphabets. The alphabets are converted to encrypted data which is checked by the database and validating the user. This is mainly implemented to increase the security of the user and to the data which they use.

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References

  1. Brattoli M, de Gennaro G, de Pinto V, Loiotile AD, Lovascio S, Penza M (2011) Odour detection methods: olfactometry and chemical sensors. Sensors 11: 5290–5322. ISSN 1424-8220. (open access)

    Google Scholar 

  2. Tzong-Zeng W (1998) A piezoelectric biosensor as an olfactory receptor for Odour detection: electronic nose. Biosens Bioelectron 14: 9–18. (Elsevier)

    Google Scholar 

  3. Jacob TJC, Wang L (2006) A new method for measuring reaction times for odour detection at is o-intensity: Comparison between an unpleasant and pleasant odour. Physiol Behav 87:500–505. (Elsevior)

    Google Scholar 

  4. Gardner JW, Shin HW, Hines EL (2000) An electronicnose system to diagnose illness. Sens Actuators B 19–24. (Elsevier)

    Google Scholar 

  5. Aleixandre M, Lozano J, Gutierrez J, Sayago I, Fernandez MJ, Horrillo MC (2008) Portable e-nose to classify different kinds of wine. Sens Actuators B 131:71–76. (Elsevier)

    Google Scholar 

  6. Chilo J, Pelegri-Sebastia J, Cupane M, Sogorb T (2016) E-nose application to food industry production. IEEE Instrum Meas Mag 27–33

    Google Scholar 

  7. Rikowski A, Grammer K (1998) Human body odour, symmetry and attractiveness. R Soc 266:869–874

    Google Scholar 

  8. Penn1 DJ, Oberzaucher E, Grammer K, Fischer G, Soini HA, Wiesler D, Novotny MV, Dixon SJ, Xu Y, Brereton RG (2007) Individual and gender fingerprints in human body odour. R Soc Interface 4:331–340

    Google Scholar 

  9. Szulczyński B, Wasilewski T, Wojnowski W, Majchrzak T, Dymerski T, Namieśnik J, Gębicki J (2017) Different ways to apply a measurement instrument of E-nose type to evaluate ambient air quality with respect to odour nuisance in a Vicinity of municipal processing plants. Sensors 17:2671

    Google Scholar 

  10. Luo D, Hosseini HG, Stewart JR (2004) Application of ANN with extracted parameters from an electronic nose in cigarette brand identification. Sens Actuators B 99:253–257. (Elsiever)

    Google Scholar 

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Correspondence to V. D. Ambeth Kumar .

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Anush Kumar, V., Manigandaa, C.S., Dhanush Hariharan, S., Manikantaa, C., Saranya, G., Ambeth Kumar, V.D. (2023). Human Odor Security Using E-nose. In: Venkataraman, N., Wang, L., Fernando, X., Zobaa, A.F. (eds) Big Data and Cloud Computing. ICBCC 2022. Lecture Notes in Electrical Engineering, vol 1021. Springer, Singapore. https://doi.org/10.1007/978-981-99-1051-9_4

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