Skip to main content
SpringerLink
Log in

On Continuous User Authentication via Hidden Free-Text Based Monitoring

  • Conference paper
  • First Online:
Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) (IITI'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 875))

Abstract

This paper investigates the stages and specific features of continuous user authentication by hidden monitoring of keystroke dynamics when creating a free text. The stages include extraction of informative characteristics of keyboard rhythm, creation and update of user profiles and identification of efficiency criteria. A software application was developed for the project. The authors further analyzed existing algorithms for user identification based in metric distances. Previously proved features of keystroke dynamics were scaled with regard to frequency of use of Russian and English letters in free texts.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yampolskiy, R.V., Govindaraju, V.: Behavioural biometrics: a survey and classification. Int. J. Biom. 1(1), 81–113 (2008)

    Article  Google Scholar 

  2. Pisani, P.H., Lorena, A.C.: Emphasizing typing signature in keystroke dynamics using immune algorithms. Appl. Soft Comput. 34, 178–193 (2015)

    Article  Google Scholar 

  3. Peacock, A., Ke, X., Wilkerson, M.: Typing patterns: a key to user identification. IEEE Secur. Priv. 2(5), 40–47 (2004)

    Article  Google Scholar 

  4. Shanmugapriya, D., Padmavathi, G.: A survey of biometric keystroke dynamics: approaches, security and challenges. Int. J. Comput. Sci. Inf. Secur. 5(1), 115–119 (2009)

    Google Scholar 

  5. Banerjee, S.P., Woodard, D.L.: Biometric authentication and identification using keystroke dynamics: a survey. J. Pattern Recognit. Res. 7(1), 116–139 (2012)

    Article  Google Scholar 

  6. Karnan, M., Akila, M., Krishnaraj, N.: Biometric personal authentication using keystroke dynamics: a review. Appl. Soft Comput. 11(2), 1565–1573 (2011)

    Article  Google Scholar 

  7. Teh, P.S., Teoh, A.B.J., Yue, S.: A survey of keystroke dynamics biometrics. Sci. World J. 2013, 1–24 (2013)

    Article  Google Scholar 

  8. Pisani, P.H., Lorena, A.C.: A systematic review on keystroke dynamics. J. Braz. Comput. Soc. 19(4), 573–587 (2013)

    Article  Google Scholar 

  9. Mondal, S., Bours, P.: A study on continuous authentication using a combination of keystroke and mouse biometrics. Neurocomputing 230, 1–22 (2016)

    Article  Google Scholar 

  10. Vasiliev, V.I., Lozhnikov, P.S., Sulavko, A.E., Eremenko, A.V.: Hidden biometric identification technologies of users of computer systems (review). Inf. Secur. Issues 3(110), 37–47 (2015)

    Google Scholar 

  11. Teh, P.S., Zhang, N., Teoh, A.B., Chen, K.: A survey on touch dynamics authentication in mobile devices review article. Comput. Secur. 59, 210–235 (2016)

    Article  Google Scholar 

  12. Mahfouz, A., Mahmoud, T.M., Eldin, A.S.: A survey on behavioral biometric authentication on smartphones. Res. Artic. J. Inf. Secur. Appl. 37, 28–37 (2017)

    Google Scholar 

  13. Pentel, A.: Predicting age and gender by keystroke dynamics and mouse patterns. In: Proceedings of UMAP 2017 Adjunct, Publication of the 25th Conference on User Modeling, Adaptation and Personalization, pp. 381–385 (2017)

    Google Scholar 

  14. Lozhnikov, P., Sulavko, A., Buraya, E., Pisarenko, V.: Authentication of computer users in real-time by generating bit sequences based on keyboard handwriting and face features. Cybersecur. Issues 3(21), 24–34 (2017)

    Article  Google Scholar 

  15. Kim, J., Kim, H., Kang, P.: Keystroke dynamics-based user authentication using freely typed text based on user-adaptive feature extraction and novelty detection. Appl. Soft Comput. 62, 1077–1087 (2018)

    Article  Google Scholar 

  16. Morales, A., Fierrez, J., Tolosana, R., Ortega-Garcia, J., Galbally, J., Gomez-Barrero, M., et al.: KBOC: keystroke biometrics ongoing competition. In: Proceedings 8th IEEE International Conference on Biometrics: Theory, Applications, and Systems, pp. 1–6 (2016)

    Google Scholar 

  17. Kochegurova, E.A., Gorokhova, E.S., Mozgaleva, A.I.: Development of the keystroke dynamics recognition system. J. Phys.: Conf. Ser. 803(1), 1–7 (2017)

    Google Scholar 

  18. Alpar, O.: Frequency spectrograms for biometric keystroke authentication using neural network based classifier. Knowl.-Based Syst. 116, 163–171 (2017)

    Article  Google Scholar 

  19. Goodkind, A., Brizan, D.G., Rosenberg, A.: Utilizing overt and latent linguistic structure to improve keystroke-based authentication. Image Vis. Comput. 58, 230–238 (2017)

    Article  Google Scholar 

  20. Alsultan, A., Warwick, K.: Keystroke dynamics authentication: a survey of free-text methods. Int. J. Comput. Sci. Issues 10(4), 1–10 (2013)

    Google Scholar 

  21. Ali, M.L., Monaco, J.V., Tappert, C.C., Qiu, M.: Keystroke biometric systems for user authentication. J. Signal Process. Syst. 86, 175–190 (2017)

    Article  Google Scholar 

Download references

Acknowledgment

The reported study was funded by RFBR according to the research project № 18-07-01007.

Author information

Authors and Affiliations

  1. National Research Tomsk Polytechnic University, Lenina Avenue, 30, 634050, Tomsk, Russia

    Elena Kochegurova, Elena Luneva & Ekaterina Gorokhova

Authors
  1. Elena Kochegurova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elena Luneva
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ekaterina Gorokhova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elena Kochegurova .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Rostov State Transport University, Rostov-on-Don, Russia

    Andrey Sukhanov

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kochegurova, E., Luneva, E., Gorokhova, E. (2019). On Continuous User Authentication via Hidden Free-Text Based Monitoring. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 875. Springer, Cham. https://doi.org/10.1007/978-3-030-01821-4_8

Download citation

Publish with us

Policies and ethics

Search

Navigation