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Please note the EULA must be signed by a permanent faculty or research member from your university, and a scanned copy must be attached to the application.

INSTRUCTIONS FOR DOWNLOADING KBOC_DB

  1. Download EULA, send by email one signed and scanned copy to atvs@uam.es according to the instructions given in point 2.
     

  2. Send an email to atvs@uam.es, as follows:
    Subject: [DATABASE download: KBOC_DB]

    Body
    : Your name, e-mail, telephone number, organization, postal mail, purpose for which you will use the database, time and date at which you sent the email with the signed license agreement.
     

  3. Once the email copy of the EULA has been received at ATVS, you will receive an email with a username, a password, and a time slot to download the database.
     

  4. Download the database, for which you will need to provide the authentication information given in step 4. After you finish the download, please notify by email to atvs@uam.es that you have successfully completed the transaction.
     

  5. For more information, please contact: atvs@uam.es or visit https://sites.google.com/site/btas16kboc/database



DESCRIPTION OF KBOC_DB

The database consists of keystroke sequences from 300 subjects acquired in four different sessions distributed in a four month time span. Thus, three different levels of temporal variability are taken into account: (1) within the same session (the samples are not acquired consecutively), (2) within weeks (between two consecutive sessions), and (3) within months (between non-consecutive sessions).

Each session comprises 4 case-insensitive repetitions of the subject's name and surname typed in a natural and continuous manner (case insensitive)Mistakes (and backspace) are not permitted. The time (in milliseconds) elapsed between consecutive key events (press and release) is provided as keystroke dynamics sequence. The main statistics of the dataset proposed for the competition are summarized in Table 1.

Table 1. Summary of the main statistics of the database proposed for the competition

Characteristics

#

Number of users (Testing Set)

300

Number of users (Development Set)

10

Number of sessions

4

Samples per user (including genuine and impostors)

24

Average separation between sessions

1 month


There are two types of sequences:

  • Genuine sequences: typed by the owner of the password.
  • Impostor sequences: typed by other users (different to the owner) who try to spoof the system.

The number of genuine and impostor samples per user varies (this information remains sequestered). Each file sample is named as TXXX_YY.txt, where T is the set (D=Development, T=Test), XXX is the number of user and YY the number of sample. The files contain the following information:

23  %Number of keys
  0x2aD       0  %0x2a=scancode (see examples in the development set), D=type of event(D= press, U= release), 0=time between two consecutive key events (the first is always the reference zero).
  0x24D     265   
  0x24U     109
  0x2aU       0
  .

The time sequence is given in form of time (milliseconds) elapsed between events. In this example, the difference between the pressure of the key 0x2a and the key 0x24 is 265 milliseconds, the difference between the pressure of the key 0x24 and the release of 0x24 is 109 milliseconds,...


The Evaluation

The first 4 samples are used to model the user behavior (files TXXX_01.txt, TXXX_02.txt, TXXX_03.txt, TXXX_04.txt are genuines) and the remaining 20 samples (including genuine and impostors) are used to calculate the performance of the systems. Therefore, the evaluation comprises 20x300=6000 comparisons.  See all the details in:

Aythami Morales, Julian Fierrez, Ruben Tolosana, Javier Ortega-Garcia, Javier Galbally, Marta Gomez-Barrero, Andre Anjos, Sebastien Marcel, "Keystroke Biometrics OnGoing Competition", IEEE Access, Vol. 4, pp. 7736-7746, November 2016.


REFERENCES

  • A. Morales, J. Fierrez, R. Tolosana, J. Ortega-Garcia, J. Galbally, M. Gomez-Barrero, A. Anjos and S. Marcel, "Keystroke Biometrics Ongoing Competition", IEEE Access, Vol. 4, pp. 7736-7746, November 2016. [Link]
  • A. Morales, J. Fierrez, M. Gomez-Barrero, J. Ortega-Garcia, R. Daza, J.V. Monaco, J. Montalvão, J. Canuto, A. George, "KBOC: Keystroke Biometrics OnGoing Competition", Proc. 8th IEEE International Conference on Biometrics: Theory, Applications, and Systems, Buffalo, USA, pp. 1-6, 2016.