Detail publikace

On the Similarity of User-specific Features on Mobile Devices

MATOUŠEK, P. LOUB, R.

Originální název

On the Similarity of User-specific Features on Mobile Devices

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, we show what kind of user-specific data obtained from a mobile device is appropriate for similarity measurement. The data have to be hardware independent, transformed in a normalized form so that we can compare e.g., bookmarks from different web browsers, and have to hold high entropy so that they can be used to distinguish different users. Selection of our set of user-specific data is based on previous research, our own survey among mobile users who were asked what application, settings, or functions they usually use, and our own experiments. For each source of data a different comparison function that respects specific features of the data is employed. The result of comparison is expressed as a similarity function that sums partial results of comparison functions weighted by entropy of the data.

Klíčová slova

mobile forensics, fingerprinting, user specific features, similarity

Autoři

MATOUŠEK, P.; LOUB, R.

Vydáno

18. 5. 2017

Nakladatel

University of Defence in Brno

Místo

Brno

Strany od

1

Strany do

11

Strany počet

10

URL

https://www.fit.vut.cz/research/publication/11376/

BibTex

@inproceedings{BUT168454,
  author="Petr {Matoušek} and Radek {Loub}",
  title="On the Similarity of User-specific Features on Mobile Devices",
  booktitle="Proceedings of SPI 2017",
  year="2017",
  pages="1--11",
  publisher="University of Defence in Brno",
  address="Brno",
  url="https://www.fit.vut.cz/research/publication/11376/"
}

Dokumenty

spi2017-abstract.pdf