Secure and Efficient Data Transmission over Body Sensor and Wireless Networks

Challa, N.; Çam, Hasan; Sikri, Madhur

doi:10.1155/2008/291365

Cited by 16 publications

(10 citation statements)

References 7 publications

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“…They have proposed approaches using HRV or IPIs as biometric characteristics to generate identity for authentication and encryption [15,16,20,21]. Several data encryption schemes have been proposed based on ECG [18,22,23], PPG [19] and multiple physiological signals [24]. Clancy et al [25] suggested that fingerprint can be used to generate keys for cryptosystems in eHealth platforms.…”

Section: Related Workmentioning

confidence: 99%

User Authentication Model for Securing E-Health System using Fingerprint Biometrics

Kwao¹

2019

IJRASET

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The emergence of electronic health or eHealth has revolutionized the healthcare industry to offer better healthcare services at a low and affordable cost. However, it still suffers from security and privacy issues in handling health information. The privacy and security issues in eHealth domain are mainly centered around user authentication, data integrity, data confidentiality, and patient privacy protection. Biometrics technology has considerable opportunities to cope with the above security problems by providing reliable and secure user authentication. However, due to the sensitive nature of health data, the most important challenge lies toward the development of an efficient security model that can guarantee data privacy and reliability, verifying that only authorized personnel can access their corresponding health data. In this paper, we present a comprehensive overview of biometrics applications in eHealth and propose a robust and efficient scheme for user verification using fingerprint biometrics in order to enhance privacy and security in eHealth information systems. Moreover, additional issues like system complexity and processing time related to the use of biometrics should be taken into consideration. We therefore, emphasize to reduce the computation cost in biometric matching. In this work, we use local minutie features for user authentication and employ a fast stereo matching algorithm to compare the minutiae features of the test (probe) fingerprint with the minutiae features extracted from the gallery fingerprints (fingerprint database) in order to verify a person. Experimental results show that the proposed scheme leads to a compromise between the computation efficiency and the accuracy of the verification process. We believe that, our proposed scheme could be employed in real-time applications.

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Section: Related Workmentioning

confidence: 99%

User Authentication Model for Securing E-Health System using Fingerprint Biometrics

Kwao¹

2019

IJRASET

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“…The ECG is a unique individual trait, whereas its properties completely depend on human body and heart beats. To become ensure about ECG as a biometric feature, it is essential to know ideal biometric characteristics [3][4][5], as shown in Table.1.…”

Section: Fig 1 Body Sensor Network Architecture [9]mentioning

confidence: 99%

A Novel Biometric Algorithm to Body Sensor Networks

Pirbhulal

Zhang

2015

Wearable Electronics Sensors

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Abstract. In Body Sensor Networks (BSN) several sensor nodes are attached on, inside or around human body to monitor vital sign signals such as, Electrocardiogram (ECG), Electroencephalogram (EEG), Blood pressure etc. The information from each sensor node is very significant; therefore privacy and security is very important during data transmission in BSN. The conventional cryptographic approaches make use of cryptographic keys to achieve authentication, and use of these keys not only require high resource utilization and computation time, but also consume large amount of energy, power and memory in BSN. Therefore, it is necessary to develop power efficient and less computational complex authentication technique for BSN. In this paper we design a novel biometric algorithm which is based on biometric feature Electrocardiogram (ECG) and uses Data Authentication Function (DAF) for the security of BSN instead of utilizing traditional key generation procedure. Our proposed algorithm is compared with two cryptographic authentication techniques, Data Encryption Standard (DES) which is symmetric or private-key based encryption technique and RSA (Rivest Shamir Adleman) which is asymmetric or public-key based encryption scheme. Simulation is performed in MATLAB and results explain that our algorithm is efficient in terms of transmission time utilization and average remaining energy.

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“…If the check is successful, the Joiner computes K'=abQ and computes K using the Matyas-Meyer-Oseas (MMO) hash function [11]. The 160-bit K' becomes a 128-bit Network Key, K. A subMAC [12] is constructed by selecting some bits of an HMAC. We reduce the overhead by transmitting only a part of the actual HMAC, rather than the entire HMAC using subMAC.…”

Section: Proposed Zigbee Key Managementmentioning

confidence: 99%

“…In this paper, we apply the elliptic curve Diffie-Hellman(ECDH) [3] key distribution mechanism for such the ZigBee Pro vulnerabilities and propose a more efficient ECDH using subMAC [12] that has message authentication and prevents man-in-the-middle attack. Our research exhibits an enhanced key mechanism and message authentication in ZigBee Pro for wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

An enhanced key management using ZigBee Pro for wireless sensor networks

Choi

Yun

Chae

et al. 2012

The International Conference on Information Network 2012

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In this paper, we propose an enhanced key management mechanism using ECDH(Elliptic Curve Diffie-Hellman) and subMAC for wireless sensor networks using ZigBee. ZigBee consumes low power and provides security in wireless sensor networks. ZigBee Pro enhances security and supports a large number of applications. Despite enhanced security, ZigBee Pro has vulnerabilities of key management, i.e., weakness of key distribution. We use ECDH for secure key distribution and subMAC to overcome the weakness of ECDH, i.e., no authentication and no prevention of man-in-the-middle attack. Using subMAC, we provide the authentication for transmitted messages and prevent man-in-the-middle attack and replay attack. Simulation results show our approach using ECDH and subMAC in ZigBee Pro is more efficient than existing ZigBee Pro in terms of run time and energy consumption. We prove security is enhanced.

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Secure and Efficient Data Transmission over Body Sensor and Wireless Networks

Cited by 16 publications

References 7 publications

User Authentication Model for Securing E-Health System using Fingerprint Biometrics

User Authentication Model for Securing E-Health System using Fingerprint Biometrics

A Novel Biometric Algorithm to Body Sensor Networks

An enhanced key management using ZigBee Pro for wireless sensor networks

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