BEHACOM - a dataset modelling users’ behaviour in computers

Pedro M. Sánchez Sánchez; José M. Jorquera Valero; Mattia Zago; Alberto Huertas Celdrán; Lorenzo Fernández Maimó; Eduardo López Bernal; Sergio López Bernal; Javier Martínez Valverde; Pantaleone Nespoli; Javier Pastor Galindo; Ángel L. Perales Gómez; Manuel Gil Pérez; Gregorio Martínez Pérez

doi:10.1016/j.dib.2020.105767

BEHACOM - a dataset modelling users’ behaviour in computers

Pedro M. Sánchez Sánchez, José M. Jorquera Valero, Mattia Zago, Alberto Huertas Celdrán, Lorenzo Fernández Maimó, Eduardo López Bernal, Sergio López Bernal, Javier Martínez Valverde, Pantaleone Nespoli, Javier Pastor Galindo, Ángel L. Perales Gómez, Manuel Gil Pérez, Gregorio Martínez Pérez

Department of Computing and Mathematics

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive days without preestablished indications or restrictions. The generated dataset, called BEHACOM, contains for each user a set of features that models, in one-minute time windows, the usage of computer resources such as CPU or memory, as well as the activities registered by applications, mouse and keyboard. It has to be stated that the collected data have been treated in a privacy-preserving way during each phase of the collection and analysis. Together with the features and their explanation, we also detail the software used to gather and process the data. Finally, this article describes the data distribution of the BEHACOM dataset.

Original language	English
Article number	105767
Journal	Data in Brief
Volume	31
DOIs	https://doi.org/10.1016/j.dib.2020.105767
Publication status	Published - Aug 2020

Keywords

application statistics
Behavioural dataset
computer
keyboard activity
mouse movements
resource usage

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10.1016/j.dib.2020.105767

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Sánchez Sánchez, P. M., Jorquera Valero, J. M., Zago, M., Huertas Celdrán, A., Fernández Maimó, L., López Bernal, E., López Bernal, S., Martínez Valverde, J., Nespoli, P., Pastor Galindo, J., Perales Gómez, Á. L., Gil Pérez, M., & Martínez Pérez, G. (2020). BEHACOM - a dataset modelling users’ behaviour in computers. Data in Brief, 31, Article 105767. https://doi.org/10.1016/j.dib.2020.105767

@article{17209e9b445e4272805de2b01ab3b599,

title = "BEHACOM - a dataset modelling users{\textquoteright} behaviour in computers",

abstract = "This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive days without preestablished indications or restrictions. The generated dataset, called BEHACOM, contains for each user a set of features that models, in one-minute time windows, the usage of computer resources such as CPU or memory, as well as the activities registered by applications, mouse and keyboard. It has to be stated that the collected data have been treated in a privacy-preserving way during each phase of the collection and analysis. Together with the features and their explanation, we also detail the software used to gather and process the data. Finally, this article describes the data distribution of the BEHACOM dataset.",

keywords = "application statistics, Behavioural dataset, computer, keyboard activity, mouse movements, resource usage",

author = "{S{\'a}nchez S{\'a}nchez}, {Pedro M.} and {Jorquera Valero}, {Jos{\'e} M.} and Mattia Zago and {Huertas Celdr{\'a}n}, Alberto and {Fern{\'a}ndez Maim{\'o}}, Lorenzo and {L{\'o}pez Bernal}, Eduardo and {L{\'o}pez Bernal}, Sergio and {Mart{\'i}nez Valverde}, Javier and Pantaleone Nespoli and {Pastor Galindo}, Javier and {Perales G{\'o}mez}, {{\'A}ngel L.} and {Gil P{\'e}rez}, Manuel and {Mart{\'i}nez P{\'e}rez}, Gregorio",

note = "Funding Information: This work has been partially supported by the Irish Research Council, under the government of Ireland post-doc fellowship (grant code GOIPD/2018/466); by a predoctoral grant from the University of Murcia; by a predoctoral grant from the Spanish National Cybersecurity Institute (INCIBE) with the code INCIBEI-2015-27353; by an FPU predoctoral contract (FPU18/00304) granted by the Spanish Ministry of Science, Innovation and Universities. Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2020",

month = aug,

doi = "10.1016/j.dib.2020.105767",

language = "English",

volume = "31",

journal = "Data in Brief",

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Sánchez Sánchez, PM, Jorquera Valero, JM, Zago, M, Huertas Celdrán, A, Fernández Maimó, L, López Bernal, E, López Bernal, S, Martínez Valverde, J, Nespoli, P, Pastor Galindo, J, Perales Gómez, ÁL, Gil Pérez, M & Martínez Pérez, G 2020, 'BEHACOM - a dataset modelling users’ behaviour in computers', Data in Brief, vol. 31, 105767. https://doi.org/10.1016/j.dib.2020.105767

TY - JOUR

T1 - BEHACOM - a dataset modelling users’ behaviour in computers

AU - Sánchez Sánchez, Pedro M.

AU - Jorquera Valero, José M.

AU - Zago, Mattia

AU - Huertas Celdrán, Alberto

AU - Fernández Maimó, Lorenzo

AU - López Bernal, Eduardo

AU - López Bernal, Sergio

AU - Martínez Valverde, Javier

AU - Nespoli, Pantaleone

AU - Pastor Galindo, Javier

AU - Perales Gómez, Ángel L.

AU - Gil Pérez, Manuel

AU - Martínez Pérez, Gregorio

N1 - Funding Information: This work has been partially supported by the Irish Research Council, under the government of Ireland post-doc fellowship (grant code GOIPD/2018/466); by a predoctoral grant from the University of Murcia; by a predoctoral grant from the Spanish National Cybersecurity Institute (INCIBE) with the code INCIBEI-2015-27353; by an FPU predoctoral contract (FPU18/00304) granted by the Spanish Ministry of Science, Innovation and Universities. Publisher Copyright: © 2020 The Author(s)

PY - 2020/8

Y1 - 2020/8

N2 - This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive days without preestablished indications or restrictions. The generated dataset, called BEHACOM, contains for each user a set of features that models, in one-minute time windows, the usage of computer resources such as CPU or memory, as well as the activities registered by applications, mouse and keyboard. It has to be stated that the collected data have been treated in a privacy-preserving way during each phase of the collection and analysis. Together with the features and their explanation, we also detail the software used to gather and process the data. Finally, this article describes the data distribution of the BEHACOM dataset.

AB - This paper details the methodology and approach conducted to monitor the behaviour of twelve users interacting with their computers for fifty-five consecutive days without preestablished indications or restrictions. The generated dataset, called BEHACOM, contains for each user a set of features that models, in one-minute time windows, the usage of computer resources such as CPU or memory, as well as the activities registered by applications, mouse and keyboard. It has to be stated that the collected data have been treated in a privacy-preserving way during each phase of the collection and analysis. Together with the features and their explanation, we also detail the software used to gather and process the data. Finally, this article describes the data distribution of the BEHACOM dataset.

KW - application statistics

KW - Behavioural dataset

KW - computer

KW - keyboard activity

KW - mouse movements

KW - resource usage

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U2 - 10.1016/j.dib.2020.105767

DO - 10.1016/j.dib.2020.105767

M3 - Article

AN - SCOPUS:85085757749

SN - 2352-3409

VL - 31

JO - Data in Brief

JF - Data in Brief

M1 - 105767

ER -

BEHACOM - a dataset modelling users’ behaviour in computers

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Keywords

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