TY - GEN
T1 - Proposed customer's sensitive information privacy model for financial institution
AU - Perumal, Sundresan
AU - Aramugam, Raamesh
AU - Samy, Ganthan Narayana
AU - Krishnasamy, Karthiggaibalan
AU - Shanmugam, Bharanidharan
N1 - Funding Information:
ACKNOWLEDGMENT This research work is supported by funding from the Universiti Sains Islam Malaysia (USIM), Research Grant Scheme, Grant vote number: PPP/USG-0216/FST/30/19016.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Over the years, the financial institution has struggled in Identifying method or an approach in protecting privacy issue when it comes to customer sensitive information. Financial institution process massive amounts of customer information that are utilized by their employee for daily banking transaction process in order to support their organization services. By giving the privileged access to the customer sensitive information employees may cause privacy breaches, which lead to serious damages to their company reputation. However, there is still a lack of research pertaining to protecting the privacy of sensitive's customer information because most of the financial institution hesitate to reveal their internal information's due to confidentiality. Thus the research is to investigate factors from past findings that are commonly used for perceived privacy information model. The selected factors have been used to build a proposed model to protect the privacy of customer's sensitive information in financial institutions. The proposed model of the research would be a benefit for the financial institution to understand their staff knowledge in terms of privacy, of customer's sensitive information and behavior towards protecting the privacy of sensitive's customer information.
AB - Over the years, the financial institution has struggled in Identifying method or an approach in protecting privacy issue when it comes to customer sensitive information. Financial institution process massive amounts of customer information that are utilized by their employee for daily banking transaction process in order to support their organization services. By giving the privileged access to the customer sensitive information employees may cause privacy breaches, which lead to serious damages to their company reputation. However, there is still a lack of research pertaining to protecting the privacy of sensitive's customer information because most of the financial institution hesitate to reveal their internal information's due to confidentiality. Thus the research is to investigate factors from past findings that are commonly used for perceived privacy information model. The selected factors have been used to build a proposed model to protect the privacy of customer's sensitive information in financial institutions. The proposed model of the research would be a benefit for the financial institution to understand their staff knowledge in terms of privacy, of customer's sensitive information and behavior towards protecting the privacy of sensitive's customer information.
KW - Financial Institutions
KW - Information Privacy
KW - Sensitive's Customer Information
UR - http://www.scopus.com/inward/record.url?scp=85078313443&partnerID=8YFLogxK
U2 - 10.1109/iCCECE46942.2019.8941918
DO - 10.1109/iCCECE46942.2019.8941918
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85078313443
T3 - Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019
SP - 203
EP - 207
BT - Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019
A2 - Miraz, Mahdi H.
A2 - Excell, Peter S.
A2 - Ware, Andrew
A2 - Soomro, Safeeullah
A2 - Ali, Maaruf
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - Piscataway, NJ
T2 - 2nd International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019
Y2 - 22 August 2019 through 23 August 2019
ER -