Context-aware inference model for cold-chain logistics monitoring

Engel, Ventje Jeremias Lewi; Supangkat, Suhono Harso

doi:10.1109/ictss.2014.7013172

Cited by 5 publications

(1 citation statement)

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“…Overhead requirements can be reduced by inferring health data on sensor devices, which circumvents the need to have a managing device, such as a smartphone or other smart device, to act as a gateway that connects to a public network. Engel et al [ 11 ] have proposed an inference model for the continuous monitoring of goods in supply chain management in order to provide relevant information for users. The authors have argued that RFID and multi-sensor wireless sensor networks (WSNs) that are used in logistics applications produce a huge volume of data.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Efficient and Secure Data Inference Framework for Internet of Health Things: A Pilot Study

Kang

Dibaei

Luo

et al. 2021

Sensors

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Privacy protection in electronic healthcare applications is an important consideration, due to the sensitive nature of personal health data. Internet of Health Things (IoHT) networks that are used within a healthcare setting have unique challenges and security requirements (integrity, authentication, privacy, and availability) that must also be balanced with the need to maintain efficiency in order to conserve battery power, which can be a significant limitation in IoHT devices and networks. Data are usually transferred without undergoing filtering or optimization, and this traffic can overload sensors and cause rapid battery consumption when interacting with IoHT networks. This poses certain restrictions on the practical implementation of these devices. In order to address these issues, this paper proposes a privacy-preserving two-tier data inference framework solution that conserves battery consumption by inferring the sensed data and reducing data size for transmission, while also protecting sensitive data from leakage to adversaries. The results from experimental evaluations on efficiency and privacy show the validity of the proposed scheme, as well as significant data savings without compromising data transmission accuracy, which contributes to energy efficiency of IoHT sensor devices.

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Section: Related Workmentioning

confidence: 99%