Security and Privacy in Outsourcing with Customer-Specified Risk Tolerance

32 Pages Posted: 2 Jul 2013 Last revised: 1 Sep 2022

See all articles by Raymond Patterson

Raymond Patterson

Independent

Lisa Yeo

Loyola University Maryland; University of Alberta - Department of Accounting, Operations & Information Systems

Erik Rolland

Independent

Date Written: June 1, 2005

Abstract

Outsourcing coupled with technology that enables data to reside anywhere has opened up new challenges to the protection of personal privacy. Privacy laws differ internationally as does the value different cultures place on personal privacy. Such differences have implications for government as well as businesses. The corporation must be aware of the security efforts of all its partners and consumers must be aware of the security of all service providers in the extended value chain, not just the business they are interacting with directly. In this paper we propose a method for controlling risks associated with spreading personal information across an extended value chain. In addition, this method accommodates customer-specified levels of risk tolerance. For businesses, the goal is to minimize the cost of securing data spread across vendors and international boundaries.

Keywords: Privacy, Security, Outsourcing, Mixed Integer Linear Programming

Suggested Citation

Patterson, Raymond and Yeo, Melanie and Yeo, Melanie and Rolland, Erik, Security and Privacy in Outsourcing with Customer-Specified Risk Tolerance (June 1, 2005). EJETA Special, October 2006, University of Alberta School of Business Research Paper No. 2013-1072, Available at SSRN: https://ssrn.com/abstract=2281463

Melanie Yeo

University of Alberta - Department of Accounting, Operations & Information Systems ( email )

Edmonton, Alberta T6G 2R6
Canada

Loyola University Maryland ( email )

4501 North Charles Street
Baltimore, MD 21210-2699
United States
4106172937 (Phone)

Erik Rolland

Independent ( email )

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