A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT

Abderrazak Abdaoui; Aiman Erbad; Abdulla Al-Ali; Amr Mohamed; Mohsen Guizani

doi:10.1109/GCWkshps52748.2021.9682030

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT

Abderrazak Abdaoui
, Aiman Erbad
, Abdulla Al-Ali
, Amr Mohamed
, Mohsen Guizani

Computer Science and Engineering Department

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These sensing systems have been used to collect and analyze the real-time data remotely in Internet of Medical Thinks (IoM). Since the patient sensed information is so sensitive, the security and privacy of medical data are becoming challenging problem in IoM. It is then important to ensure the security, privacy and integrity of the transmitted data by designing a secure and a lightweight authentication protocol for the IoM. In this paper, in order to improve the authentication and communications in health care applications, we present a novel secure and anonymous authentication scheme. We will use elliptic curve cryptography (ECC) with random numbers generated by fuzzy logic. We simulate IoM scheme using network simulator 3 (NS3) and we employ optimized link state routing protocol (OLSR) algorithm and ECC at each node of the network. We apply some attack algorithms such as Pollard's ρ and Baby-step Giant-step to evaluate the vulnerability of the proposed scheme.

Original language	English
Title of host publication	2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665423908
DOIs	https://doi.org/10.1109/GCWkshps52748.2021.9682030
Publication status	Published - 2021
Event	2021 IEEE Globecom Workshops, GC Wkshps 2021 - Madrid, Spain Duration: 7 Dec 2021 → 11 Dec 2021

Publication series

Name	2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

Conference

Conference	2021 IEEE Globecom Workshops, GC Wkshps 2021
Country/Territory	Spain
City	Madrid
Period	7/12/21 → 11/12/21

Keywords

Blackhole attack
Elliptic curve cryptography
Fuzzy logic
Internet-of-Medical Things
OLSR routing algorithm
Pollard's ρ
Pseudo random numbers

Access to Document

10.1109/GCWkshps52748.2021.9682030

Cite this

Abdaoui, A., Erbad, A., Al-Ali, A., Mohamed, A., & Guizani, M. (2021). A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT. In 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings (2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps52748.2021.9682030

@inproceedings{4cdab2a1b19c4ff38aebb7d31a683931,

title = "A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT",

abstract = "Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These sensing systems have been used to collect and analyze the real-time data remotely in Internet of Medical Thinks (IoM). Since the patient sensed information is so sensitive, the security and privacy of medical data are becoming challenging problem in IoM. It is then important to ensure the security, privacy and integrity of the transmitted data by designing a secure and a lightweight authentication protocol for the IoM. In this paper, in order to improve the authentication and communications in health care applications, we present a novel secure and anonymous authentication scheme. We will use elliptic curve cryptography (ECC) with random numbers generated by fuzzy logic. We simulate IoM scheme using network simulator 3 (NS3) and we employ optimized link state routing protocol (OLSR) algorithm and ECC at each node of the network. We apply some attack algorithms such as Pollard's ρ and Baby-step Giant-step to evaluate the vulnerability of the proposed scheme.",

keywords = "Blackhole attack, Elliptic curve cryptography, Fuzzy logic, Internet-of-Medical Things, OLSR routing algorithm, Pollard's ρ, Pseudo random numbers",

author = "Abderrazak Abdaoui and Aiman Erbad and Abdulla Al-Ali and Amr Mohamed and Mohsen Guizani",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Globecom Workshops, GC Wkshps 2021 ; Conference date: 07-12-2021 Through 11-12-2021",

year = "2021",

doi = "10.1109/GCWkshps52748.2021.9682030",

language = "English",

series = "2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings",

address = "United States",

}

Abdaoui, A, Erbad, A, Al-Ali, A, Mohamed, A & Guizani, M 2021, A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT. in 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings. 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Globecom Workshops, GC Wkshps 2021, Madrid, Spain, 7/12/21. https://doi.org/10.1109/GCWkshps52748.2021.9682030

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT. / Abdaoui, Abderrazak; Erbad, Aiman; Al-Ali, Abdulla et al.
2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT

AU - Abdaoui, Abderrazak

AU - Erbad, Aiman

AU - Al-Ali, Abdulla

AU - Mohamed, Amr

AU - Guizani, Mohsen

PY - 2021

Y1 - 2021

N2 - Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These sensing systems have been used to collect and analyze the real-time data remotely in Internet of Medical Thinks (IoM). Since the patient sensed information is so sensitive, the security and privacy of medical data are becoming challenging problem in IoM. It is then important to ensure the security, privacy and integrity of the transmitted data by designing a secure and a lightweight authentication protocol for the IoM. In this paper, in order to improve the authentication and communications in health care applications, we present a novel secure and anonymous authentication scheme. We will use elliptic curve cryptography (ECC) with random numbers generated by fuzzy logic. We simulate IoM scheme using network simulator 3 (NS3) and we employ optimized link state routing protocol (OLSR) algorithm and ECC at each node of the network. We apply some attack algorithms such as Pollard's ρ and Baby-step Giant-step to evaluate the vulnerability of the proposed scheme.

AB - Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These sensing systems have been used to collect and analyze the real-time data remotely in Internet of Medical Thinks (IoM). Since the patient sensed information is so sensitive, the security and privacy of medical data are becoming challenging problem in IoM. It is then important to ensure the security, privacy and integrity of the transmitted data by designing a secure and a lightweight authentication protocol for the IoM. In this paper, in order to improve the authentication and communications in health care applications, we present a novel secure and anonymous authentication scheme. We will use elliptic curve cryptography (ECC) with random numbers generated by fuzzy logic. We simulate IoM scheme using network simulator 3 (NS3) and we employ optimized link state routing protocol (OLSR) algorithm and ECC at each node of the network. We apply some attack algorithms such as Pollard's ρ and Baby-step Giant-step to evaluate the vulnerability of the proposed scheme.

KW - Blackhole attack

KW - Elliptic curve cryptography

KW - Fuzzy logic

KW - Internet-of-Medical Things

KW - OLSR routing algorithm

KW - Pollard's ρ

KW - Pseudo random numbers

UR - https://www.scopus.com/pages/publications/85126122695

U2 - 10.1109/GCWkshps52748.2021.9682030

DO - 10.1109/GCWkshps52748.2021.9682030

M3 - Conference contribution

AN - SCOPUS:85126122695

T3 - 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

BT - 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE Globecom Workshops, GC Wkshps 2021

Y2 - 7 December 2021 through 11 December 2021

ER -

Abdaoui A, Erbad A, Al-Ali A, Mohamed A, Guizani M. A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT. In 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings). doi: 10.1109/GCWkshps52748.2021.9682030

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

EX-QNRF-NPRPS-38: AI-Based Next Generation Edge Platform for Heterogeneous Services using 5G Technologies

Cite this

A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

EX-QNRF-NPRPS-38: AI-Based Next Generation Edge Platform for Heterogeneous Services using 5G Technologies

Cite this