Atlantis Press Paper Details: Mobile Phone User Identification with Fuzzy Fingerprints

Fingerprint identification is a well-known technique in forensic sciences. The basic idea of identifying a subject based on a set of features left by the subject actions or behavior can be applied to other domains. Identifying a mobile phone user based on a user fingerprint is one such application. This paper considers the problem of extracting fingerprints from call usage logs and matching them with those obtained from a set of known users. It presents an innovative fuzzy fingerprint algorithm based on vector valued fuzzy sets. Call destination numbers are used as base features to create the fingerprint. The assumption is that numbers called by each user remain approximately stable and are distinctive. The paper presents the proposed algorithm and shows some experimental results that validate the approach. The use of fast and compact algorithms is critical due to the possible huge number of users, and allows this method to be used on near real time.

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title:		Mobile Phone User Identification with Fuzzy Fingerprints
publication:		EUSFLAT
part of series:		Advances in Intelligent Systems Research
pages:		860 - 867
DOI:		To be assigned soon (how to use a DOI)
author(s):		Nuno Homem
publication date:		July 2011
keywords:		component, fuzzy fingerprints, vector valued fuzzy sets, similarity, frequent elements, approximate algorithms, data streams.
abstract:		Fingerprint identification is a well-known technique in forensic sciences. The basic idea of identifying a subject based on a set of features left by the subject actions or behavior can be applied to other domains. Identifying a mobile phone user based on a user fingerprint is one such application. This paper considers the problem of extracting fingerprints from call usage logs and matching them with those obtained from a set of known users. It presents an innovative fuzzy fingerprint algorithm based on vector valued fuzzy sets. Call destination numbers are used as base features to create the fingerprint. The assumption is that numbers called by each user remain approximately stable and are distinctive. The paper presents the proposed algorithm and shows some experimental results that validate the approach. The use of fast and compact algorithms is critical due to the possible huge number of users, and allows this method to be used on near real time.
copyright:		© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
full text:		eusflatlfa2011_RS_7.pdf (2880 K)