TY - GEN
T1 - Trust Issues for Big Data about High-Value Manufactured Parts
AU - Adhikari, Anku
AU - Hojjati, Avesta
AU - Shen, Juanli
AU - Hsu, Jui Ting
AU - King, William P.
AU - Winslett, Marianne
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/30
Y1 - 2016/6/30
N2 - In the world of high-value manufacturing, an imperative forproductivity and quality are driving the manufacturingcommunity towards integration of all information capturedabout a product along the manufacturing value chain, from itsdesign and manufacture through usage, maintenance, anddecommissioning. Much of this information is alreadycaptured, but it is scattered across many organizations, withsignificant variation among levels of security consciousnessand information technology sophistication. Any weak link inthis chain of organizations constitutes a threat that can have amajor negative impact for organizations all along the chain. In this paper, we explain the reasons for the move towardsintegration of information about high-value manufacturedproducts. We introduce the concept of a digital thread, whichis the entre set of information about the life history of amanufactured object. We outline several key threats to digitalthreads that have not been fully addressed in previous work onsecuring provenance information, and propose digital-threadsas-a-service (DTaaS) as a potential way to mitigate several ofthe open issues.
AB - In the world of high-value manufacturing, an imperative forproductivity and quality are driving the manufacturingcommunity towards integration of all information capturedabout a product along the manufacturing value chain, from itsdesign and manufacture through usage, maintenance, anddecommissioning. Much of this information is alreadycaptured, but it is scattered across many organizations, withsignificant variation among levels of security consciousnessand information technology sophistication. Any weak link inthis chain of organizations constitutes a threat that can have amajor negative impact for organizations all along the chain. In this paper, we explain the reasons for the move towardsintegration of information about high-value manufacturedproducts. We introduce the concept of a digital thread, whichis the entre set of information about the life history of amanufactured object. We outline several key threats to digitalthreads that have not been fully addressed in previous work onsecuring provenance information, and propose digital-threadsas-a-service (DTaaS) as a potential way to mitigate several ofthe open issues.
KW - Digital threads
KW - cloud computing
KW - digital-threads-as-a-service (DTaaS)
KW - manufacturing
UR - http://www.scopus.com/inward/record.url?scp=84979779783&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979779783&partnerID=8YFLogxK
U2 - 10.1109/BigDataSecurity-HPSC-IDS.2016.50
DO - 10.1109/BigDataSecurity-HPSC-IDS.2016.50
M3 - Conference contribution
AN - SCOPUS:84979779783
T3 - Proceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
SP - 24
EP - 29
BT - Proceedings - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
A2 - Qiu, Meikang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Big Data Security on Cloud, IEEE BigDataSecurity 2016, 2nd IEEE International Conference on High Performance and Smart Computing, IEEE HPSC 2016 and IEEE International Conference on Intelligent Data and Security, IEEE IDS 2016
Y2 - 9 April 2016 through 10 April 2016
ER -