Secure Collaborative Supply-Chain Management

Authors:
Florian Kerschbaum;Axel Schroepfer;Antonio Zilli;Richard Pibernik;Octavian Catrina;Sebastiaan de Hoogh;Berry Schoenmakers;Stelvio Cimato;Ernesto Damiani
Affiliations:
SAP Research Karlsruhe, Germany;SAP Research Karlsruhe, Germany;University of Salento, Italy;EBS Business School, Germany;University of Mannheim, Germany;Eindhoven University of Technology, Netherlands;Eindhoven University of Technology, Netherlands;Universita degli studi di Milano, Italy;Universita degli studi di Milano, Italy
Venue:
Computer
Year:
2011

Citing 0
Cited 4

Expression rewriting for optimizing secure computation

Proceedings of the third ACM conference on Data and application security and privacy
Toward secure clustered multi-party computation: a privacy-preserving clustering protocol

ICT-EurAsia'13 Proceedings of the 2013 international conference on Information and Communication Technology
An information-flow type-system for mixed protocol secure computation

Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
Efficient secure computation optimization

Proceedings of the First ACM workshop on Language support for privacy-enhancing technologies

Quantified Score

Hi-index	4.10

Visualization

Abstract

The SecureSCM project demonstrates the practical applicability of secure multiparty computation to online business collaboration. A prototype supply-chain management system protects the confidentiality of private data while rapidly adapting to changing business needs.