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Privacy and Security in Brain-Computer Interfaces

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Control, Computer Engineering and Neuroscience (ICBCI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1362))

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Abstract

Brain-computer interfaces (BCIs) have significantly improved the quality of life of many people through, but not limited to, helping with various medical conditions. Given the recent development of BCIs to enable brain-to-internet and brain-to-brain communication a possibility for cybercriminals is generated, posing tremendous risk to the personal information and health of an individual. This paper presents characterizations of security attacks described in literature, along with their impact and countermeasures.

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References

  1. Li, O., Ding, D., Conti, M.: Brain-computer interface applications: security and privacy challenges. In: IEEE Conference on Communications and Network Security (CNS) (2015). https://doi.org/10.1109/cns.2015.7346884

  2. Tyler, W.J., Sanguinetti, J.L., Fini, M., Hool, N.: Non-invasive neural stimulation. In: Micro- and Nanotechnology Sensors, Systems, and Applications IX (2017). https://doi.org/10.1117/12.2263175

  3. Bernal, S., Celdrán, A.H., Pérez, G.M., Barros, M.T., et al.: Security in brain-computer interfaces: state-of-the-art, opportunities, and future challenges (2021). https://doi.org/10.1145/3427376

  4. Rao, R.P.N.: Towards neural co-processors for the brain: combining decoding and encoding in brain-computer interfaces (2018). arXiv:1811.11876

  5. Paszkiel, S., Szpulak, P.: Methods of acquisition, archiving and biomedical data analysis of brain functioning, biomedical engineering and neuroscience. In: Hunek, W.P., Paszkiel, S. (eds.) Book Series: Advances in Intelligent Systems and Computing, vol. 720, pp. 158–171 (2018). https://doi.org/10.1007/978-3-319-75025-5_15

  6. Paszkiel, S., Dobrakowski, P., Lysiak, A.: the impact of different sounds on stress level in the context of EEG, cardiac measures and subjective stress level: a pilot study. Brain Sci. 10(10), Article Number: 728 (2020). https://doi.org/10.3390/brainsci10100728

  7. Paszkiel, S., Sikora, M.: The use of brain-computer interface to control unmanned aerial vehicle, automation 2019: progress in automation, robotics and measurement techniques. In: Szewczyk, R., Zielinski, C., Kaliczynska, M. (eds.) Book Series: Advances in Intelligent Systems and Computing, vol. 920, pp. 583–598 (2020). https://doi.org/10.1007/978-3-030-13273-6_54

  8. Paszkiel, S.: Augmented reality of technological environment in correlation with brain computer interfaces for control processes, recent advances in automation, robotics and measuring techniques. Szewczyk, R., Zielinski, C., Kaliczynska, M. (eds.) Book Series: Advances in Intelligent Systems and Computing, vol. 267, pp. 197–203 (2014). https://doi.org/10.1007/978-3-319-05353-0_20

  9. Paszkiel, S.: The use of facial expressions identified from the level of the eeg signal for controlling a mobile vehicle based on a state machine, automation 2020: towards industry of the future. In: Szewczyk, R., Zielinski, C., Kaliczynska, M. (eds.) Book Series: Advances in Intelligent Systems and Computing, vol. 1140, pp. 227–238 (2020). https://doi.org/10.1007/978-3-030-40971-5_21

  10. Aziz, B.: Detecting Man-in-the-Middle Attacks by Precise Timin, DBLP (2009)

    Google Scholar 

  11. McAfee White Paper April 2006, Rootkits, Part 1 of 3: The Growing Threat (2006)

    Google Scholar 

  12. Paszkiel, S.: Characteristics of question of blind source separation using moore-penrose pseudoinversion for reconstruction of EEG signal, automation 2017: innovations in automation, robotics and measurement techniques. In: Szewczyk, R., Zielinski, C., Kaliczynska, M. (eds.) Book Series: Advances in Intelligent Systems and Computing, vol. 550, pp. 393–400 (2017). https://doi.org/10.1007/978-3-319-54042-9_36

  13. https://www.researchgate.net/figure/Man-in-the-middle-attack-model_fig3_342618239. Accessed 05 Jan 2021

  14. https://www.codeproject.com/Articles/326574/An-Introduction-to-Mutual-SSL-Authentication. Accessed 05 Jan 2021

  15. Paszkiel, S.: Using BCI in IoT implementation, analysis and classification of EEG signals for brain-computer interfaces. In: Book Series: Studies in Computational Intelligence, vol. 852, pp. 101–110 (2020). https://doi.org/10.1007/978-3-030-30581-9_12

  16. https://codeburst.io/load-balancers-an-analogy-cc64d9430db0. Accessed 05 Jan 2021

  17. https://www.ekransystem.com/en/blog/rbac-vs-abac. Accessed 05 Jan 2021

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Correspondence to Sebastian SÅ‚aby .

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SÅ‚aby, S. (2021). Privacy and Security in Brain-Computer Interfaces. In: Paszkiel, S. (eds) Control, Computer Engineering and Neuroscience. ICBCI 2021. Advances in Intelligent Systems and Computing, vol 1362. Springer, Cham. https://doi.org/10.1007/978-3-030-72254-8_19

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