Titlebook: IoT Supply Chain Security Risk Analysis and Mitigation; Modeling, Computatio Timothy Kieras,Junaid Farooq,Quanyan Zhu Book 2022 The Author(

intertwine

Tim Kieras,Junaid Farooq,Quanyan Zhuwenige Jahre vom Labor zur Klinik. So lagen beim CCR5-Antagonisten Maraviroc nicht einmal 24 Monate zwischen der ersten wichtigen Publikation klinischer Studien am Menschen (.) und der Zulassung im Herbst 2007. H?ufig lernen HIV-Behandler deswegen die neuen Medikamente erst ?am Patienten? kennen und

全等

wenige Jahre vom Labor zur Klinik. So lagen beim CCR5-Antagonisten Maraviroc nicht einmal 24 Monate zwischen der ersten wichtigen Publikation klinischer Studien am Menschen (.) und der Zulassung im Herbst 2007. H?ufig lernen HIV-Behandler deswegen die neuen Medikamente erst ?am Patienten? kennen und

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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/i/image/475096.jpg

同位素

978-3-031-08479-9The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

SPECT

IoT Supply Chain Security Risk Analysis and Mitigation978-3-031-08480-5Series ISSN 2191-5768 Series E-ISSN 2191-5776

Constitution

https://doi.org/10.1007/978-3-031-08480-5Supply chain risk management; cybersecurity; Internet of Things; supply chain attack; risk assessment, c

INCUR

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IoT and Supply Chain Security,traditional information and communications technology (ICT) systems. This chapter highlights potential sources of supply chain risks in IoT systems and their unique aspects along with providing an overview of the fundamental challenges in supply chain risk assessment and mitigation.

In-Situ

Risk Mitigation Decisions,ships between suppliers and service providers across the different interconnected devices and provides an analysis of the associated cyber risks including the weakest and most vulnerable links. The decision-support engine allows for planning new system deployments from a supply chain viewpoint by recommending an optimized selection of suppliers.

surrogate

Computational Tools,ation. This chapter introduces a software tool named I-SCRAM that is specifically designed to allow the vendor risk assessment of IT, OT, and IoT systems and assist with cost-effective risk minimizing selection of vendors. Case studies are provided to help illustrate the utility of the developed tool.