Name
Abstract | ||
|---|---|---|
In mobile payment, trust and confidence are the essential keys in performing a financial transaction. The users feel insecure and hesitant to participate in a transaction due to fear of security and privacy issues raised in mobile payment. The mobile devices are prone to theft of misplacement. When a subject loses his/her phone or when the phone is stolen, it can lead to payment fraud or personal identity theft. To address the complications and restrictions associated with mobile payment services, a responsive Analytical Hierarchy Process (AHP) Pairwise Comparison framework is developed to elicit expert knowledge for security and privacy risk events and consequences dependencies. Risk events and consequences are first acquired from literature analysis. This is followed by an expert's interview to rank the relative important of the risk events and consequences using AHP. In this paper, a secure mobile payment technological model is presented to prioritize the privacy and security risk events and consequences of mobile payment technology. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IICAIET49801.2020.9257829 | 2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) |
Keywords | DocType | ISBN |
AHP Model,Mobile Payment,Secured Transactions,Risk Prioritization | Conference | 978-1-7281-6960-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thinesh Ganesan | 1 | 0 | 0.34 |
| Thian Song Ong | 2 | 181 | 16.85 |
| Wooi Ping Cheah | 3 | 36 | 8.03 |
| Tee Connie | 4 | 334 | 20.78 |