Security for Pervasive Medical Sensor Networks

García-Morchón, Óscar; Falck, Thomas; Heer, Tobias; Wehrle, Klaus

doi:10.4108/icst.mobiquitous2009.6832

Cited by 29 publications

(23 citation statements)

References 24 publications

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“…Since security, and in that context the protection of private data, is extremely important [5], solutions as presented in [6] need to be integrated into medical monitoring systems as well. We encourage to include strong cryptography mechanism within these systems, e.g., based on Advanced Encryption Standard (AES).…”

Section: Related Workmentioning

confidence: 99%

Remote medical treatment at home using the Java Mobile Sensor API

Maaser

Ortmann

2010

2010 IEEE Globecom Workshops

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Since wireless sensor networks are successfully deployed in real life scenarios, applications in medical health-care, structural control, homeland security etc. become feasible. In those envisioned applications, easy maintenance and usability become crucial to staff members, e.g., to doctors or nurses. Not only for widespread distribution of hundreds of sensors, but also in tele-medical applications, remotely-controlled sensing and maintenance without direct access to sensors is required. For this purpose we present a middleware abstraction based on the standard Java Mobile Sensor API (JSR-256). It allows transparent access to sensor measurements, sensor information and maintenance data, which appear as local sensor resources to the user even if the sensors are connected via network. Hence, the user neither requires technical skills nor location information to request sensor data. This paper gives an architectural and functional overview of our middleware within the context of telemedicine. We demonstrate how our middleware approach supports patient monitoring for pre-and post-operative treatment at home.

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Section: Related Workmentioning

confidence: 99%

Remote medical treatment at home using the Java Mobile Sensor API

Maaser

Ortmann

2010

2010 IEEE Globecom Workshops

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“…Since security, and in this context cryptographic means as the key technology to protect private data, is extremely important [8], solutions as presented in [9] need to be integrated into medical monitoring systems. To the best of our knowledge, there exist no mobile e-health systems based on common smartphones that does not need to decrypt and newly encrypt data on the smartphone before the data are forwarded again.…”

Section: Related Workmentioning

confidence: 99%

Enabling secure and privacy-aware mobile sensing and e-health applications on everybodys smartphone

Ortmann

Maaser²

2011

2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)

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Mobile surveillance of patients vital data is of prominent use in today's e-health applications. Given the fact that smartphones provide Internet connectivity almost anywhere and at any time, these seem to be the perfect key device for such application. In contrast to available solutions, our approach described in this paper allows using almost any smartphone for such purpose. In addition, the system enables to dynamically reconfigure the e-health infrastructure without putting the privacy and data security of monitored patients at risk.

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“…Here, the sensors comprising the PAN of a user should be able to decide in a dynamic way on the disclosure of the sensed data. Recent work [7][1 1] [14] describes how cryptographic keys can be generated, access control roles can be verified by means of lightweight primitives or public-key cryptography, and analyzes how access control decisions can be taken on sensor nodes from the network and communication point of views. However, several key technical aspects, which are required by the above application, remain unsolved.…”

Section: P Ervasive H Eal Thcare and A Ccess C Ontrolmentioning

confidence: 99%

“…• Digital certifIcate verifIcation -Upon receiving the digital certifIcate from access request, the module verifIes the validity of the certifIcate by means of existing techniques [7][1 1].…”

Section: ) Context-aware Role Enrolment Modulementioning

confidence: 99%

Efficient and context-aware access control for pervasive medical sensor networks

García-Morchón

Wehrle

2010

2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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Medical sensor networks allow for pervasive health monitoring in hospitals, at home, or on the way. Each user carries a set of wireless medical sensors that allows caregivers to monitor his health state. The privacy and confidentiality of medical data need to be guaranteed at any moment to make sure that third parties cannot access confidential information. Additionally, the system also has to be aware of context changes, such as emergencies, to ensure fast access to the medical data, and thus, the safety of the users. In this context, this paper presents a modular context-aware access control model to allow for context-awareness and pro-active decision making during acute, emergency, and normal medical situations. We analyze its structure, features, and operation in detail and further describe how our system can be applied to existing security architectures for medical sensor networks.

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Security for Pervasive Medical Sensor Networks

Cited by 29 publications

References 24 publications

Remote medical treatment at home using the Java Mobile Sensor API

Remote medical treatment at home using the Java Mobile Sensor API

Enabling secure and privacy-aware mobile sensing and e-health applications on everybodys smartphone

Efficient and context-aware access control for pervasive medical sensor networks

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