A Privacy Preserving Approach to Collaborative Systemic Risk Identification: The Use-Case of Supply Chain Networks
Joint Authors
Zare-Garizy, Tirazheh
Fridgen, Gilbert
Wederhake, Lars
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-22
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zare-Garizy, Tirazheh& Fridgen, Gilbert& Wederhake, Lars. 2018. A Privacy Preserving Approach to Collaborative Systemic Risk Identification: The Use-Case of Supply Chain Networks. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1214111
Modern Language Association (MLA)
Zare-Garizy, Tirazheh…[et al.]. A Privacy Preserving Approach to Collaborative Systemic Risk Identification: The Use-Case of Supply Chain Networks. Security and Communication Networks No. 2018 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1214111
American Medical Association (AMA)
Zare-Garizy, Tirazheh& Fridgen, Gilbert& Wederhake, Lars. A Privacy Preserving Approach to Collaborative Systemic Risk Identification: The Use-Case of Supply Chain Networks. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1214111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214111