A Privacy Preserving Approach to Collaborative Systemic Risk Identification : the Use-case of Supply Chain Network

Title data

Zare Garizy, Tirazheh ; Fridgen, Gilbert ; Wederhake, Lars:
A Privacy Preserving Approach to Collaborative Systemic Risk Identification : the Use-case of Supply Chain Network.
In: Security and Communication Networks. (2018) . - 3858592.
ISSN 1939-0122
DOI: https://doi.org/10.1155/2018/3858592

Official URL:

Abstract in another language

Globalization, and outsourcing are two main factors which are leading to higher complexity of supply chain networks.
Due to the strategic importance of having a sustainable network it is necessary to have an enhanced supply chain
network risk management. In a supply chain network many firms depend directly or indirectly on a specific supplier.
In this regard, unknown risks of network’s structure can endanger the whole supply chain network’s robustness. In
spite of the importance of risk identification of supply chain network, firms are not willing to exchange the structural information of their network. Firms are concerned about risking their strategic positioning or established connections in the network. The paper proposes to combine secure multiparty computation cryptography methods with risk
identification algorithms from social network analysis to address this challenge. The combination enables structural
risk identification of supply chain networks without endangering firms’ competitive advantage.

Further data

Item Type:	Article in a journal
Refereed:	Yes
Keywords:	Multiparty Computation; Algorithms; Privacy Preservation; Supply Chain Network; Systemic Risk; Risk Management
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems and Digital Energy Management Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors > Professor Information Systems and Sustainable IT Management - Univ.-Prof. Dr. Gilbert Fridgen Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Former Professors
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	20 Jul 2018 07:15
Last Modified:	10 Oct 2023 12:08
URI:	https://eref.uni-bayreuth.de/id/eprint/45140