A Smart Blacklist Filter for the Android System

uTaipei > College of Science > Department of Computer Science > Proceedings > Item 987654321/15769

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Title:	A Smart Blacklist Filter for the Android System
Authors:	Hung, Jui-Chung;洪瑞鍾;Yu, Tai-Fu;游台福
Contributors:	臺北市立教育大學資訊科學系
Keywords:	Adaptive neuro-fuzzy inference systems;Android;Blacklist filter;Fuzzy system
Date:	2013
Issue Date:	2017-07-24 11:27:35 (UTC+8)
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.
Relation:	International Conference on Information, Business and Education Technology 2013
Appears in Collections:	[Department of Computer Science] Proceedings

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