Proceedings of the 2016 International Conference on Computational Science and Engineering (ICCSE 2016)

Risk Assessment for Mobile Payment Security based on Analytic Hierarchy Process Method

Authors
Mei-jing Shan
Corresponding Author
Mei-jing Shan
Available Online October 2016.
DOI
10.2991/iccse-16.2016.22How to use a DOI?
Keywords
Mobile payment, Analytic hierarchy process, Security assessment
Abstract

In big data ages, the security is the greatest concerns of mobile payment. Comparing to the internet payment, mobile payment has many personal and difficult problems. A risk assessment indexes system was built up through Delphi method, and the weight of each index was calculated with analytic hierarchy process, then the top risk node and security value of the whole system was gotten. According to the designed index system, fuzzy comprehensive analysis method was introduced to the security evaluation of mobile payment. The experiment illustrates this index system can effectively quantify and assess the security level of mobile payment.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 International Conference on Computational Science and Engineering (ICCSE 2016)
Series
Advances in Computer Science Research
Publication Date
October 2016
ISBN
978-94-6252-239-8
ISSN
2352-538X
DOI
10.2991/iccse-16.2016.22How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Mei-jing Shan
PY  - 2016/10
DA  - 2016/10
TI  - Risk Assessment for Mobile Payment Security based on Analytic Hierarchy Process Method
BT  - Proceedings of the 2016 International Conference on Computational Science and Engineering (ICCSE 2016)
PB  - Atlantis Press
SP  - 127
EP  - 133
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-16.2016.22
DO  - 10.2991/iccse-16.2016.22
ID  - Shan2016/10
ER  -