The Vulnerability-Adaptive Protection Paradigm.

This article explores the ways in which the trade-off between resiliency and cost in producing safe autonomous machines can be minimized to ensure resilience at low cost. The authors describe their vulnerability-adaptive protection (VAP) paradigm and apply it to a review of the design landscape for...

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Detalles Bibliográficos
Publicado en:Communications of the ACM Vol. 67; no. 9; pp. 66 - 78
Autores principales: Wan, Zishen, Gan, Yiming, Yu, Bo, Liu, Shaoshan, Raychowdhury, Arijit, Zhu, Yuhao
Formato: Artículo
Publicado: Association for Computing Machinery Sep2024
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:This article explores the ways in which the trade-off between resiliency and cost in producing safe autonomous machines can be minimized to ensure resilience at low cost. The authors describe their vulnerability-adaptive protection (VAP) paradigm and apply it to a review of the design landscape for resilient autonomous machines. In addition, the authors characterize the inherent resilience in a variety of widely used tasks in open source software stacks for both autonomous vehicles and drones.