Journal of Supercomputing, ( ISI ), Year (2023-11)

Title : ( REACH: Robust Efficient Authentication for Crowdsensing-based Healthcare )

Authors: mahdi nikooghadam , Haleh Amintoosi , Hamid Reza Shahriari ,

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Abstract

Crowdsensing systems use a group of people to collect and share sensor data for various tasks. One example is the crowdsensing-based healthcare system, which provides smart services to patients and elderly people using wearable sensors. However, such a system faces a significant security challenge: how to authenticate the sensor device (patient) and exchange medical data securely over a public channel. Although considerable research has been directed towards authentication protocols for healthcare systems, state-of-the-art approaches are vulnerable to a series of attacks, including impersonation and stolen verifier attacks, and do not ensure perfect forward secrecy. In this paper, first, we elaborate two of such approaches. Then, we propose a Robust and Efficient Authentication scheme for Crowdsensing-based Healthcare systems, called REACH. We prove that REACH supports perfect forward secrecy and anonymity and resists well-known attacks. We perform various formal and informal security analyses using the Real-OR-Random (ROR) Model, BAN logic, and the well-known Scyther tool. We also show that REACH outperforms the related methods in incurring the minimum computational overhead and comparable communication overhead.

Keywords

Authentication · Key agreement · Healthcare · Crowdsensing · Cryptanalysis · ROR
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@article{paperid:1096665,
author = {Nikooghadam, Mahdi and Amintoosi, Haleh and حمیدرضا شهریاری},
title = {REACH: Robust Efficient Authentication for Crowdsensing-based Healthcare},
journal = {Journal of Supercomputing},
year = {2023},
month = {November},
issn = {0920-8542},
keywords = {Authentication · Key agreement · Healthcare · Crowdsensing · Cryptanalysis · ROR},
}

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%0 Journal Article
%T REACH: Robust Efficient Authentication for Crowdsensing-based Healthcare
%A Nikooghadam, Mahdi
%A Amintoosi, Haleh
%A حمیدرضا شهریاری
%J Journal of Supercomputing
%@ 0920-8542
%D 2023

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