Paper Info
Title
Mobile Phone User Identification with Fuzzy Fingerprints.
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.
Year
Venue
Keywords
2011
PROCEEDINGS OF THE 7TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT-2011) AND LFA-2011
component,fuzzy fingerprints,vector valued fuzzy sets,similarity,frequent elements,approximate algorithms,data streams
Field
DocType
ISSN
Data mining,Data stream mining,Fuzzy logic,Fuzzy set,Fingerprint,Artificial intelligence,Mobile phone,Machine learning,Mathematics
Conference
1951-6851
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Nuno HomemJoao1433.08
João Paulo Carvalho211017.52