Assessment of Security Risk Impact on Mobile Payment Services

Thinesh Ganesan; Thian Song Ong; Wooi Ping Cheah; Tee Connie

doi:10.1109/IICAIET49801.2020.9257829

Assessment of Security Risk Impact on Mobile Payment Services

Thinesh Ganesan
, Thian Song Ong
, Wooi Ping Cheah
, Tee Connie

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728169460
DOIs	https://doi.org/10.1109/IICAIET49801.2020.9257829
Publication status	Published - 26 Sept 2020
Externally published	Yes
Event	2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020 - Kota Kinabalu, Sabah, Malaysia Duration: 26 Sept 2020 → 27 Sept 2020

Publication series

Name	IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020

Conference

Conference	2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020
Country/Territory	Malaysia
City	Kota Kinabalu, Sabah
Period	26/09/20 → 27/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Free Keywords

AHP Model
Mobile Payment
Risk Prioritization
Secured Transactions

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing
Information Systems and Management
Instrumentation

Access to Document

10.1109/IICAIET49801.2020.9257829

Cite this

Ganesan, T., Ong, T. S., Cheah, W. P., & Connie, T. (2020). Assessment of Security Risk Impact on Mobile Payment Services. In IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020 Article 9257829 (IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IICAIET49801.2020.9257829

Ganesan, Thinesh ; Ong, Thian Song ; Cheah, Wooi Ping et al. / Assessment of Security Risk Impact on Mobile Payment Services. IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020).

@inproceedings{463305507f6c4ab5b2674a0586decf8e,

title = "Assessment of Security Risk Impact on Mobile Payment Services",

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.",

keywords = "AHP Model, Mobile Payment, Risk Prioritization, Secured Transactions",

author = "Thinesh Ganesan and Ong, \{Thian Song\} and Cheah, \{Wooi Ping\} and Tee Connie",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020 ; Conference date: 26-09-2020 Through 27-09-2020",

year = "2020",

month = sep,

day = "26",

doi = "10.1109/IICAIET49801.2020.9257829",

language = "English",

series = "IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020",

address = "United States",

}

Ganesan, T, Ong, TS, Cheah, WP & Connie, T 2020, Assessment of Security Risk Impact on Mobile Payment Services. in IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020., 9257829, IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020, Kota Kinabalu, Sabah, Malaysia, 26/09/20. https://doi.org/10.1109/IICAIET49801.2020.9257829

Assessment of Security Risk Impact on Mobile Payment Services. / Ganesan, Thinesh; Ong, Thian Song; Cheah, Wooi Ping et al.
IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9257829 (IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Assessment of Security Risk Impact on Mobile Payment Services

AU - Ganesan, Thinesh

AU - Ong, Thian Song

AU - Cheah, Wooi Ping

AU - Connie, Tee

PY - 2020/9/26

Y1 - 2020/9/26

N2 - 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.

AB - 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.

KW - AHP Model

KW - Mobile Payment

KW - Risk Prioritization

KW - Secured Transactions

UR - https://www.scopus.com/pages/publications/85098082676

U2 - 10.1109/IICAIET49801.2020.9257829

DO - 10.1109/IICAIET49801.2020.9257829

M3 - Conference contribution

AN - SCOPUS:85098082676

T3 - IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020

BT - IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020

Y2 - 26 September 2020 through 27 September 2020

ER -

Ganesan T, Ong TS, Cheah WP, Connie T. Assessment of Security Risk Impact on Mobile Payment Services. In IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9257829. (IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020). doi: 10.1109/IICAIET49801.2020.9257829

Assessment of Security Risk Impact on Mobile Payment Services

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this