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In the Hacker’s Eye: The Neurophysiology of a Computer Hacker

Conference paper
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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 99)

Abstract

This paper presents data from a preliminary investigation on the neurophysiological changes that occur when a person attempts to crack a password. A password cracking scenario was provided to a small cohort of university students and while they were attempting to crack into the password, their EEG was recorded. The results indicate that the overall frontal lobe power (at electrode position F7) was significantly different during cracking as opposed to typing alone. Further, the principal visual area (O1 and O2 electrodes) electrodes displayed much more variability in the cracking scenario than in the transcriptional typing scenario. Further, the anterior frontal electrodes displayed much higher activation than in the transcriptional typing task. These results suggest that using EEG recording alone, a unique signature can be acquired in real-time which provides significant and suggestive evidence that the user is not merely typing – that they may be trying to crack into the system.

Keywords

affective computing biometrics electroencephalography heart rate variability neurophysiological computing password hacking 

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References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
    Palaniappan, R., Krishnan, S.M.: Identifying individuals using ECG beats. In: Proceedings of the International Conference on Signal Processing and Communications (SPCOM 2004), Bangalore, India, pp. 569–572 (2004)Google Scholar
  5. 5.
    Revett, K., Deravi, F., Sirlantzis, K.: Biosignals for User Authentication - Towards Cognitive Biometrics? In: EST 2010, International Conference on Emerging Security Technologies, University of Kent, Canterbury, September 6-8, pp. 71–76 (2010)Google Scholar
  6. 6.
    Coan, J.A., Allen, J.J.B.: Frontal EEG asymmetry as a moderator and mediator of emotion. Biological Psychology 67, 7–49 (2004)CrossRefGoogle Scholar
  7. 7.
    Riera, A., Soria-Frisch, A., Caparrini, M., Grau, C., Rufini, G.: Unobtrusive Biometric based on electroencephalogram analysis. EURASIP Journal on Advances in Signal Processing, 1–8 (2008)Google Scholar
  8. 8.
    Palaniappan, R., Revett, K.: Thought Based PIN Generation Using Single Channel EEG Biometric. International Journal of Cognitive Biometrics (in press)Google Scholar
  9. 9.
    Jönsson, P.: Respiratory sinus arrhythmia as a function of state anxiety in healthy individuals. International Journal of Psychophysiology 63, 48–54 (2007)CrossRefGoogle Scholar
  10. 10.
    Luay, M., Revett, K.: On the applicability of heart rate for affective gaming. In: WSEAS Special Session on Knowledge Engineering for Decision Support Systems, the CSCC Multiconference, Corfu Island, Greece, July 15-17, pp. 267–272 (2011)Google Scholar
  11. 11.
    Cacioppo, J.T., Bernston, G.G., Larsen, J.T., Poehlmann, K.M., Ito, T.A.: The psychophysiology of emotion. In: Lewis, M., Haviland-Jones, J.M. (eds.) Handbook of Emotions, 2nd edn., pp. 173–191. The Guilford Press, New York (2004)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  1. 1.Faculty of Computer and Information ScienceAin Shams UniversityCairoEgypt
  2. 2.Faculty of Informatics and Computer ScienceBritish University in EgyptEl Sherouk CityEgypt

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