Distributed cryptosystem for service-oriented smart manufacturing

Alexander Krall, Daniel Finke, Hui Yang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Advanced sensing and cloud systems propel the rapid advancements of service-oriented smart manufacturing. As a result, there is widespread generation and proliferation of data in the interest of manufacturing analytics. The sheer amount and velocity of data have also attracted a myriad of malicious parties, unfortunately resulting in an elevated prevalence of cyber-attacks whose impacts are only gaining in severity. Therefore, this article presents a new distributed cryptosystem for analytical computing on encrypted data in the manufacturing environment, with a case study on manufacturing resource planning. This framework harmonizes Paillier cryptography with the Alternating Direction Method of Multipliers (ADMM) for decentralized computation on encrypted data. Security analysis shows that the proposed Paillier-ADMM system is resistant to attacks from external threats, as well as privacy breaches from trusted-but-curious third parties. Experimental results show that smart allocation is more cost-effective than the benchmarked deterministic and stochastic policies. The proposed distributed cryptosystem shows strong potential to leverage the distributed data for manufacturing intelligence, while reducing the risk of data breaches.

Original languageEnglish (US)
Pages (from-to)1346-1359
Number of pages14
JournalIISE Transactions
Volume56
Issue number12
DOIs
StatePublished - 2024

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Distributed cryptosystem for service-oriented smart manufacturing'. Together they form a unique fingerprint.

Cite this