SenCS: Enabling Real-time Indoor Proximity Verification via Contextual Similarity

@article{Li2021SenCSER,
  title={SenCS: Enabling Real-time Indoor Proximity Verification via Contextual Similarity},
  author={Chaohao Li and Xiaoyu Ji and Bin Wang and Kai Wang and Wenyuan Xu},
  journal={ACM Trans. Sens. Networks},
  year={2021},
  volume={17},
  pages={19:1-19:22}
}
ing with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2021 Association for Computing Machinery. 1550-4859/2021/05-ART19 $15.00 https://doi.org/10.1145/3449071 ACM Transactions on Sensor Networks, Vol. 17, No. 2, Article 19. Publication date: May 2021. 
1 Citations

Delivery of User Intentionality between Computer and Wearable for Proximity-based Bilateral Authentication

Experimental results show that the proposed method results in more accurate data consistency than conventional methods for user authentication intent delivery and reduces authentication failure rate by 66.7% compared to conventional ones.

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