Proposed customer's sensitive information privacy model for financial institution

Sundresan Perumal; Raamesh Aramugam; Ganthan Narayana Samy; Karthiggaibalan Krishnasamy; Bharanidharan Shanmugam

doi:10.1109/iCCECE46942.2019.8941918

Proposed customer's sensitive information privacy model for financial institution

Sundresan Perumal, Raamesh Aramugam, Ganthan Narayana Samy, Karthiggaibalan Krishnasamy, Bharanidharan Shanmugam

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019
Editors	Mahdi H. Miraz, Peter S. Excell, Andrew Ware, Safeeullah Soomro, Maaruf Ali
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	203-207
Number of pages	5
ISBN (Electronic)	9781728121383
DOIs	https://doi.org/10.1109/iCCECE46942.2019.8941918
Publication status	Published - Aug 2019
Event	2nd International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019 - London, United Kingdom Duration: 22 Aug 2019 → 23 Aug 2019

Publication series

Name	Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019

Conference

Conference	2nd International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019
Country/Territory	United Kingdom
City	London
Period	22/08/19 → 23/08/19

Bibliographical note

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.

Access to Document

10.1109/iCCECE46942.2019.8941918

Cite this

Perumal, S., Aramugam, R., Samy, G. N., Krishnasamy, K., & Shanmugam, B. (2019). Proposed customer's sensitive information privacy model for financial institution. In M. H. Miraz, P. S. Excell, A. Ware, S. Soomro, & M. Ali (Eds.), Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019 (pp. 203-207). Article 8941918 (Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iCCECE46942.2019.8941918

Perumal, Sundresan ; Aramugam, Raamesh ; Samy, Ganthan Narayana et al. / Proposed customer's sensitive information privacy model for financial institution. Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019. editor / Mahdi H. Miraz ; Peter S. Excell ; Andrew Ware ; Safeeullah Soomro ; Maaruf Ali. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 203-207 (Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019).

@inproceedings{c700f46f9f984a85a52689bbd0e242a9,

title = "Proposed customer's sensitive information privacy model for financial institution",

abstract = "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.",

keywords = "Financial Institutions, Information Privacy, Sensitive's Customer Information",

author = "Sundresan Perumal and Raamesh Aramugam and Samy, {Ganthan Narayana} and Karthiggaibalan Krishnasamy and Bharanidharan Shanmugam",

note = "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: {\textcopyright} 2019 IEEE.; 2nd International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019 ; Conference date: 22-08-2019 Through 23-08-2019",

year = "2019",

month = aug,

doi = "10.1109/iCCECE46942.2019.8941918",

language = "English",

series = "Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "203--207",

editor = "Miraz, {Mahdi H.} and Excell, {Peter S.} and Andrew Ware and Safeeullah Soomro and Maaruf Ali",

booktitle = "Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019",

address = "United States",

}

Perumal, S, Aramugam, R, Samy, GN, Krishnasamy, K & Shanmugam, B 2019, Proposed customer's sensitive information privacy model for financial institution. in MH Miraz, PS Excell, A Ware, S Soomro & M Ali (eds), Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019., 8941918, Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 203-207, 2nd International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019, London, United Kingdom, 22/08/19. https://doi.org/10.1109/iCCECE46942.2019.8941918

Proposed customer's sensitive information privacy model for financial institution. / Perumal, Sundresan; Aramugam, Raamesh; Samy, Ganthan Narayana et al.
Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019. ed. / Mahdi H. Miraz; Peter S. Excell; Andrew Ware; Safeeullah Soomro; Maaruf Ali. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 203-207 8941918 (Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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 -

Perumal S, Aramugam R, Samy GN, Krishnasamy K, Shanmugam B. Proposed customer's sensitive information privacy model for financial institution. In Miraz MH, Excell PS, Ware A, Soomro S, Ali M, editors, Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 203-207. 8941918. (Proceedings - 2019 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2019). doi: 10.1109/iCCECE46942.2019.8941918

Proposed customer's sensitive information privacy model for financial institution

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this