Prognostics and Secure Health Management of Electronic Systems in a Zero-Trust Environment
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
Prognostics and health management (PHM) is a multifaceted discipline for the assessment of product degradation and reliability. PHM techniques have been used to detect naturally occurring faults and predict their impact on the system lifetime. An interesting question is whether these techniques could be used to detect faults that are maliciously induced. Maliciously induced faults could be due to hardware threats; e.g., electronic products that are recycled, remarked, defective, cloned, or tampered (through insertion of hardware trojans), which cause undesired system behavior such as information leakage, functional failure, and maliciously induced aging. The concern is that increased outsourcing in the fabrication of electronic products has made them susceptible to the insertion of hardware threats in untrusted manufacturing facilities. This paper overviews the need to implement PHM to ensure hardware security and how the PHM community can adapt its research to ensure safe, reliable, and secure operation of systems.
How to Cite
##plugins.themes.bootstrap3.article.details##
PHM, Hardware Security, zero-trust architecture
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.