A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
A framework for behavior-based detection of user substitution in a mobile context (2006)
Mazhelis, O., & Puuronen, S. (2006). A framework for behavior-based detection of user substitution in a mobile context. Computers & Security, 26(2), 154-176. https://doi.org/10.1016/j.cose.2006.08.010
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Mazhelis, Oleksiy; Puuronen, Seppo
Lehti tai sarja: Computers & Security
ISSN: 0167-4048
eISSN: 1872-6208
Julkaisuvuosi: 2006
Volyymi: 26
Lehden numero: 2
Artikkelin sivunumerot: 154-176
Kustantaja: Elsevier
Julkaisumaa: Alankomaat
Julkaisun kieli: englanti
DOI: https://doi.org/10.1016/j.cose.2006.08.010
Julkaisun avoin saatavuus: Ei avoin
Julkaisukanavan avoin saatavuus:
Tiivistelmä
In this paper, a structured conceptual framework for mobile-user substitution detection is proposed. The framework is based on the idea that some aspects of user behavior and environment reflect the user's personality in a recognizable way. These hypothesized aspects are further studied in order to identify the characteristics describing the individuality of these aspects, and to identify the measures whereby the characteristics can be represented.
The main constructs of the framework are defined and explained in the paper; these include the components describing individuality of user behavior and environment, and the technical components needed to implement user substitution detection based on this individuality. The paper also provides a tentative list of individual behavioral and environmental aspects, along with characteristics and measures to represent them. The contemporary solutions, aimed at user substitution detection, are analyzed from the perspective of the framework, and the needs for further research are discussed.
YSO-asiasanat: mobiililaitteet; matkapuhelimet; älytekniikka; suojaus; tietoturva; käyttäjät; profilointi; tunnisteet; mittarit (mittaus)
Vapaat asiasanat: Mobile devices; Intrusion detection; Masquerader detection; User profiling; Identity verification
Liittyvät organisaatiot
OKM-raportointi: Kyllä
Alustava JUFO-taso: Not rated