@inproceedings{c9c4c205928a4425aea2870c2e811bce,
title = "Information fusion implementation using fuzzy inference system, term weight and information theory in a multimode authentication system",
abstract = "Fuzzy inference systems have been used in a number of systems to introduce intelligence behaviour. In this paper we attempt to address an area of security challenges in identity management. The Sugeno-Style fuzzy inference is envisaged in the implementation of information fusion in a multimode authentication system in an effort to provide a solution to identity theft and fraud. Triangular and Sigmoidally shaped membership functions are used in the fuzzification of the three inputs categories namely biometrics, pseudo metrics and device based credentials. Term weight from text mining and entropy from information theory are used to compose the identity attributes metrics. Three corpora are used to mine the identity attributes and generate the statistics required to develop the metrics values from the application forms and questionnaires.",
keywords = "Authentication, Entropy, Fuzzy logic, Identity attributes metrics, Information fusion, Term weight",
author = "Jackson Phiri and Zhao, \{Tie Jun\} and Jameson Mbale",
year = "2011",
doi = "10.1007/978-3-642-22691-5\_59",
language = "英语",
isbn = "9783642226908",
series = "Communications in Computer and Information Science",
number = "PART 2",
pages = "336--341",
booktitle = "Computer Science for Environmental Engineering and EcoInformatics - International Workshop, CSEEE 2011, Proceedings",
edition = "PART 2",
note = "2011 International Workshop on Computer Science for Environmental Engineering and EcoInformatics, CSEEE 2011 ; Conference date: 29-07-2011 Through 31-07-2011",
}