A Smart Blacklist Filter for the Android System

DOI

10.2991/icibet.2013.50How to use a DOI?

Abstract

In this paper, we present an efficient blacklist filter to address fraudulent calls on an Android system. In general, fraudulent calls are almost never included in blacklist databases of smartphones. Therefore, we combined blacklist databases and adaptive neuro-fuzzy inference systems (ANFIS) to reduce the chances of being cheated by a fraudulent caller.The smart blacklist filter consists of two steps. First, the system checks for whether a call matches the blacklist data-bases. If it does, the call will be filtered. If not, the call moves on to the second step. Second, an ANFIS method is used to as-sist in assessing the degree of risk for mismatched calls. From the experimental results, smartphones will have increased security when considering the calls used by ANFIS.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - TaiFu Yu
AU  - JuiChung Hung
PY  - 2013/03
DA  - 2013/03
TI  - A Smart Blacklist Filter for the Android System
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 232
EP  - 235
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.50
DO  - 10.2991/icibet.2013.50
ID  - Yu2013/03
ER  -