Energy measurements for analyzing medical-implant-battery lifetime

Siddiqi, Muhammad Ali;Strydis, Christos

Description

The dataset comprises of energy-consumption measurements pertaining to a modern ultra-low-power MCU (EFM32TG11). These numbers were used to evaluate the impact of using certain cryptographic primitives on the battery lifetime of implantable medical devices. Further details can be found in the relevant publication: Muhammad Ali Siddiqi and Christos Strydis. 2019. IMD security vs. energy: are we tilting at windmills?: POSTER. In Proceedings of the 16th ACM International Conference on Computing Frontiers (CF '19). ACM, New York, NY, USA, 283-285. DOI: https://doi.org/10.1145/3310273.3323421

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

69%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Open Access

Assigned Domain

Subfield

Automotive Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

76%

Source

Open Alex

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00