Evaluation Framework for Performance Limitation of Autonomous Systems Under Sensor Attack

Shimizu, Koïchi; Suzuki, Daisuke; Muramatsu, Ryo; Mori, Hisashi; Nagatsuka, Tomoyuki; Matsumoto, Tsutomu

doi:10.1007/978-3-030-83903-1_1

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…Eventually, only a few papers (i.e., [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43]) fulfilled the criteria and were evaluated. Hartsell et al [34] present ReSonAte, a dynamic risk estimation and assessment framework for autonomous systems.…”

Section: Related Workmentioning

confidence: 99%

“…As opposed to LENS, it is specifically tied to metrics for reliability, enabling the use of a range of resilience mechanisms in the design and operation of a system. Shimizu et al [38] present an evaluation framework of the performance limitations of autonomous systems that combines safety analysis and sensor attack simulation. Feth et al [39] propose a conceptual framework, i.e., a metamodel, to support early design decisions for systematically deriving Safety Supervisors (SSV) for autonomous systems.…”

Section: Related Workmentioning

confidence: 99%

“…Both frameworks focus on system safety. The framework in [38] essentially aims to evaluate how the system safety is affected by previously identified sensor attacks scenarios. The framework in [39], instead, is more directed towards runtime safety monitoring.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation Framework for Autonomous Systems: The Case of Programmable Electronic Medical Systems

Bombarda,

Bonfanti,

De Sanctis

et al. 2024

IIEEE Trans. Software Eng.

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This paper proposes an evaluation framework for autonomous systems, called LENS. It is an instrument to make an assessment of a system through the lens of abilities related to adaptation and smartness. The assessment can then help engineers understand in which direction it is worth investing to make their system smarter. It also helps to identify possible improvement directions and to plan for concrete activities. Finally, it helps to make a re-assessment when the improvement has been performed in order to check whether the activity plan has been accomplished. Given the high variability in the various domains in which autonomous systems are and can be used, LENS is defined in abstract terms and instantiated to a specific and important class of medical devices, i.e., Programmable Electronic Medical Systems (PEMS). The instantiation, called LENSPEMS, is validated in terms of applicability, i.e., how it is applicable to real PEMS, generalizability, i.e., to what extent LENSPEMS is generalizable to the PEMS class of systems, and usefulness, i.e., how it is useful in making an assessment and identifying possible directions of improvement towards smartness.

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