| Title | An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Becher, Kilian, Beck, Martin, Strufe, Thorsten |
| Conference Name | 2019 International Conference on Networked Systems (NetSys) |
| Keywords | Benchmark testing, Benchmarking, benchmarking system, cloud computing, cloud-based, cloud-based KPI comparison, cloud-based privacy-preserving benchmarking, Companies, Complexity theory, Computing Theory and Privacy, cryptography, data privacy, Encryption, homomorphic encryption, Human Behavior, key figure comparison, key performance indicators, Oblivious transfer, privacy, Privacy-preserving, privacy-preserving benchmarking systems, product cost optimisation, Protocols, pubcrawl, Resiliency, Scalability, secure multi-party computation, software performance evaluation, statistical analysis, statistical measures |
| Abstract | Benchmarking is an important measure for companies to investigate their performance and to increase efficiency. As companies usually are reluctant to provide their key performance indicators (KPIs) for public benchmarks, privacy-preserving benchmarking systems are required. In this paper, we present an enhanced privacy-preserving benchmarking protocol, which we implemented and evaluated based on the real-world scenario of product cost optimisation. It is based on homomorphic encryption and enables cloud-based KPI comparison, providing a variety of statistical measures. The theoretical and empirical evaluation of our benchmarking system underlines its practicability. |
| DOI | 10.1109/NetSys.2019.8854503 |
| Citation Key | becher_enhanced_2019 |
An Enhanced Approach to Cloud-based Privacy-preserving Benchmarking