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