Abstract
Wireless sensor networks (WSNs) based on wearable devices are being used in a growing variety of applications, many of them with strict privacy requirements: medical, surveillance, e-Health, and so forth. Since private data is being shared (physiological measures, medical records, etc.), implementing security mechanisms in these networks has become a major challenge. The objective of deploying a trustworthy domain is achieving a nonspecific security mechanism that can be used in a plethora of network topologies and with heterogeneous application requirements. Another very important challenge is resilience. In fact, if a stand-alone and self-configuring WSN is required, an autosetup mechanism is necessary in order to maintain an acceptable level of service in the face of security issues or faulty hardware. This paper presents SensoTrust, a novel security model for WSN based on the definition of trustworthy domains, which is adaptable to a wide range of applications and scenarios where services are published as a way to distribute the acquired data. Security domains can be deployed as an add-on service to merge with any service already deployed, obtaining a new secured service.
Highlights
The utilization of wearable sensors to obtain useful human body parameters is nowadays a reality, partially due to the deployment of wireless sensor networks (WSNs) as the backbone of the new e-Health applications
This paper presents SensoTrust, a novel security model for Wireless sensor networks (WSNs) based on the definition of trustworthy domains, which is adaptable to a wide range of applications and scenarios where services are published as a way to distribute the acquired data
It includes a complete trusting scheme to accept, control, and exclude nodes participating in a trusted domain, and mechanisms to define security policies using symmetric and asymmetric cryptography
Summary
The utilization of wearable sensors to obtain useful human body parameters is nowadays a reality, partially due to the deployment of wireless sensor networks (WSNs) as the backbone of the new e-Health applications. The aggregation of information through the network can be an interesting mechanism: some repeated data are not taken into account and not sent and, in this way, energy and resources are saved. Another challenge is the existence of different types of devices and platforms: there is no standardization in this kind of sensors nodes so it is desirable to abstract the hardware features by means of high-level abstract functions.
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