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Authentication and Secure Session Es...

Al Reshan, Mana Saleh.

Authentication and Secure Session Establishment in Body Area Networks Using Multiple Biometrics and Physiological Signals.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Authentication and Secure Session Establishment in Body Area Networks Using Multiple Biometrics and Physiological Signals.
Author:	Al Reshan, Mana Saleh.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2019
Description:	174 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Notes:	Publisher info.: Dissertation/Thesis.
Notes:	Advisor: Liu, Hang.
Contained By:	Dissertations Abstracts International80-12B.
Subject:	Engineering.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13879885
ISBN:	9781392226308

Authentication and Secure Session Establishment in Body Area Networks Using Multiple Biometrics and Physiological Signals.
Al Reshan, Mana Saleh.

Authentication and Secure Session Establishment in Body Area Networks Using Multiple Biometrics and Physiological Signals. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 174 p.

Source: Dissertations Abstracts International, Volume: 80-12, Section: B.

Thesis (Ph.D.)--The Catholic University of America, 2019.

This item must not be added to any third party search indexes.

A body area network (BAN) consists of wireless sensors and actuators attached to or implanted in a patient’s body for real-time health monitoring and personalized medical care. It is critical and challenging to secure wireless communications within a BAN in order to protect the patient’s privacy and also to allow authorized personnel (e.g., doctors and nurses in an emergency room) to easily access and control the BAN without the patient’s involvement or even when the patient loses consciousness. With the existing key agreement schemes, the devices are based on a pre-installed secret or a physiological signal feature to authenticate each other and to agree upon a cryptographic key for secure communications in the BAN. The former requires the patient’s involvement to access and configure the BAN, while the latter is not sufficiently reliable and secure due to signal dynamics. These issues were the motivation for designing a new key agreement scheme called Multi-Biometric and Physiological Signalbased Key Agreement (MBPSKA) in order to achieve a more secure and reliable authentication and communication session between BAN devices, while not requiring the patient to provide the secret password. The proposed scheme incorporates reliable biometric traits and timevariant physiological signal features of a patient along with efficient fuzzy crypto-algorithms and key distribution protocols. The devices use multiple biometric and physiological features for mutual authentication and cryptographic key protection. In order to verify the efficacy of the proposed scheme, a number of security characteristics of MBPSKA were assessed, including robustness and reliability against various attacks (e.g. replay attack man-in-the-middle attack). The evaluation results using real-world datasets demonstrated that MBPSKA outperforms the existing physiological signal-based key agreement schemes in terms of security, authentication reliability, and accuracy. It not only enhances security but also enables flexible and secure network access and configuration without the direct involvement of the patient.

ISBN: 9781392226308Subjects--Topical Terms:

210888
Engineering.

Authentication and Secure Session Establishment in Body Area Networks Using Multiple Biometrics and Physiological Signals.
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500 $a Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Liu, Hang.
502 $a Thesis (Ph.D.)--The Catholic University of America, 2019.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a A body area network (BAN) consists of wireless sensors and actuators attached to or implanted in a patient’s body for real-time health monitoring and personalized medical care. It is critical and challenging to secure wireless communications within a BAN in order to protect the patient’s privacy and also to allow authorized personnel (e.g., doctors and nurses in an emergency room) to easily access and control the BAN without the patient’s involvement or even when the patient loses consciousness. With the existing key agreement schemes, the devices are based on a pre-installed secret or a physiological signal feature to authenticate each other and to agree upon a cryptographic key for secure communications in the BAN. The former requires the patient’s involvement to access and configure the BAN, while the latter is not sufficiently reliable and secure due to signal dynamics. These issues were the motivation for designing a new key agreement scheme called Multi-Biometric and Physiological Signalbased Key Agreement (MBPSKA) in order to achieve a more secure and reliable authentication and communication session between BAN devices, while not requiring the patient to provide the secret password. The proposed scheme incorporates reliable biometric traits and timevariant physiological signal features of a patient along with efficient fuzzy crypto-algorithms and key distribution protocols. The devices use multiple biometric and physiological features for mutual authentication and cryptographic key protection. In order to verify the efficacy of the proposed scheme, a number of security characteristics of MBPSKA were assessed, including robustness and reliability against various attacks (e.g. replay attack man-in-the-middle attack). The evaluation results using real-world datasets demonstrated that MBPSKA outperforms the existing physiological signal-based key agreement schemes in terms of security, authentication reliability, and accuracy. It not only enhances security but also enables flexible and secure network access and configuration without the direct involvement of the patient.
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