Toward self-authenticable wearable devices

Diez, Fidel Paniagua; Touceda, Diego Suárez; Camara, Jose Maria Sierra; Zeadally, Sherali

doi:10.1109/mwc.2015.7054717

Cited by 32 publications

(7 citation statements)

References 4 publications

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“…Presently two forms of security implementations targeting security for wearable devices have been identified [ 14 ]. The first form of security attempts to authenticate the user wearing the device.…”

Section: Related Workmentioning

confidence: 99%

On the security of consumer wearable devices in the Internet of Things

Tahir

McDonald-Maier

2018

PLoS ONE

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Miniaturization of computer hardware and the demand for network capable devices has resulted in the emergence of a new class of technology called wearable computing. Wearable devices have many purposes like lifestyle support, health monitoring, fitness monitoring, entertainment, industrial uses, and gaming. Wearable devices are hurriedly being marketed in an attempt to capture an emerging market. Owing to this, some devices do not adequately address the need for security. To enable virtualization and connectivity wearable devices sense and transmit data, therefore it is essential that the device, its data and the user are protected. In this paper the use of novel Integrated Circuit Metric (ICMetric) technology for the provision of security in wearable devices has been suggested. ICMetric technology uses the features of a device to generate an identification which is then used for the provision of cryptographic services. This paper explores how a device ICMetric can be generated by using the accelerometer and gyroscope sensor. Since wearable devices often operate in a group setting the work also focuses on generating a group identification which is then used to deliver services like authentication, confidentiality, secure admission and symmetric key generation. Experiment and simulation results prove that the scheme offers high levels of security without compromising on resource demands.

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Section: Related Workmentioning

confidence: 99%

On the security of consumer wearable devices in the Internet of Things

Tahir

McDonald-Maier

2018

PLoS ONE

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“…Figure 4 presents a scenario that the health information of individuals is intercepted by potential attackers. Although the amount of personal data and biomedical information collected and processed in the WBSN systems grows daily, these data and information with extremely valuable can be easily captured by hackers and vanished into the black market due to the lack of security and authentication system in the WBSN systems [25,26].…”

Section: Problem Statementmentioning

confidence: 99%

Muscle Activity‐Driven Green‐Oriented Random Number Generation Mechanism to Secure WBSN Wearable Device Communications

Cao

Zhang

Liu

et al. 2018

Wireless Communications and Mobile Computing

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Wireless body sensor networks (WBSNs) mostly consist of low-cost sensor nodes and implanted devices which generally have extremely limited capability of computations and energy capabilities. Hence, traditional security protocols and privacy enhancing technologies are not applicable to the WBSNs since their computations and cryptographic primitives are normally exceedingly complicated. Nowadays, mobile wearable and wireless muscle-computer interfaces have been integrated with the WBSN sensors for various applications such as rehabilitation, sports, entertainment, and healthcare. In this paper, we propose MGRNG, a novel muscle activity-driven green-oriented random number generation mechanism which uses the human muscle activity as green energy resource to generate random numbers (RNs). The RNs can be used to enhance the privacy of wearable device communications and secure WBSNs for rehabilitation purposes. The method was tested on 10 healthy subjects as well as 5 amputee subjects with 105 segments of simultaneously recorded surface electromyography signals from their forearm muscles. The proposed MGRNG requires only one second to generate a 128-bit RN, which is much more efficient when compared to the electrocardiography-based RN generation algorithms. Experimental results show that the RNs generated from human muscle activity signals can pass the entropy test and the NIST random test and thus can be used to secure the WBSN nodes.

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“…With the development of wireless communication networks (WCNs), the applications of various smart devices have attracted considerable attention, such as internet of things (IoT) [1], deviceto-device (D2D) communications [2], machine-to-machine (M2M) communications [3], small cell networks (SCNs) [4] and wearable devices [5]. Owing to the broadcast nature of wireless electromagnetic waves, WCNs become vulnerable to the attack of eavesdroppers, so it is very important to ensure the security of communication systems.…”

Section: Introductionmentioning

confidence: 99%

Secure analysis of multi‐antenna cooperative networks with residual transceiver HIs and CEEs

Huang

et al. 2019

IET Communications

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In this paper, we investigate the secure performance of multi-antenna decode-and-forward (DF) relaying networks where the Nakagami-m fading channel is taken into account. In practice, the joint impact of residual transceiver hardware impairments (HIs) and channel estimation errors (CEEs) on the outage probability and intercept probability is taken into account. Considering HIs and CEEs, an optimal transmit antenna selection (OTAS) scheme is proposed to enhance the secure performance and then a collaborative eavesdropping scheme is proposed. Additionally, we present main channel capacity and intercept capacity of the multi-antenna DF relaying networks. More specifically, we derive exact closed-form expressions for the outage and intercept probabilities. To obtain useful insights into implications of parameters on the secure performance, the asymptotic behaviors for the outage probability are examined in the high signal-to-noise ratio (SNR) regime and the diversity orders are obtained and discussed. Simulation results confirm the analytical derivations and demonstrate that: 1) As the power distribution coefficient increases, OP decreases, while IP increases; 2) There exist error floors for the outage probability at high SNRs, which is determined by CEEs; 3) The secure performance can be improved by increasing the number of source antennas and artificial noise quantization coefficient, while as the number of eavesdropping increases, the security performance of the system is reduced; 4) There is a trade-off between the outage probability and intercept probability. secrecy outage probability (SOP) and strictly positive secrecy capacity (SPSC). Regarding the non-homogeneous fading environments, the authors in [11] explored the secrecy performance of Wyner's model over α − µ fading channels. With the help of moment matching method, the authors in [12] derived approximate expressions for the SOP and SPSC over κ − µ shadowed fading channels. On a parallel avenue, cooperative relaying is another promising technique to further improve the spectral efficiency and enhance the coverage of wireless networks [13-15], and thus it attracts plenty of researchers to investigate the security issues of cooperative networks [16-23]. In [16], the authors analyzed the secrecy performance of amplify-and-forward (AF) relay systems over generalized-K fading channels, where three metrics for the SOP, average secrecy capacity (ASC) and SPSC were analyzed. To improve the PLS against eavesdropping attacks, the optimal relay selection (ORS) scheme was proposed for AF and decode-and-forward (DF) relay networks and the intercept probability (IP) for the proposed scheme was derived in closed-form [17]. From the perspective of energy harvesting, the authors in [18] proposed a cooperative transmission scheme for the AF and DF relay networks under the condition of an eavesdropper, where the relays can harvest energy from radio-frequency (RF) signals of a source through power-splitting protocol. In the existing research results, the researchers discuss...

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Toward self-authenticable wearable devices

Cited by 32 publications

References 4 publications

On the security of consumer wearable devices in the Internet of Things

On the security of consumer wearable devices in the Internet of Things

Muscle Activity‐Driven Green‐Oriented Random Number Generation Mechanism to Secure WBSN Wearable Device Communications

Secure analysis of multi‐antenna cooperative networks with residual transceiver HIs and CEEs

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