DocumentCode :
1784035
Title :
Mobile Payment Anomaly Detection Mechanism Based on Information Entropy
Author :
Zhenjiang Zhang ; Xiaoni Wang ; Lin Sun
Author_Institution :
Key Lab. of Commun. & Inf. Syst., Beijing Jiaotong Univ., Beijing, China
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
924
Lastpage :
927
Abstract :
With the rapid growth in the number of mobile phone users, mobile payments have become an important part of mobile e-commerce applications. Secure payment systems directly affect the security of e-commerce systems. This paper proposes an anomaly detection mechanism supported by an information entropy method to improve mobile payments security. The simulation result shows that it can realize the effective monitoring of abnormal flow in the mobile payment system.
Keywords :
data mining; electronic commerce; mobile computing; security of data; e-commerce systems. security; information entropy method; mobile e-commerce applications; mobile payment anomaly detection mechanism; mobile payment security improvement; Entropy; IP networks; Information entropy; Mobile communication; Monitoring; Security; Telecommunication traffic; Anomaly Detection; Entropy; Mobile Payment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
Type :
conf
DOI :
10.1109/IIH-MSP.2014.232
Filename :
6998478
Link To Document :
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