Abstract:
The Internet-of-Things relies on ad-hoc connections, which also requires an on-demand approach to the negotiation of security parameters. We propose a new approach to sha...Show MoreMetadata
Abstract:
The Internet-of-Things relies on ad-hoc connections, which also requires an on-demand approach to the negotiation of security parameters. We propose a new approach to shared key derivation for Body Area Networks (BANs). Body area networks are quickly becoming increasingly important in the world of healthcare with wide application in the treatment and monitoring of chronic patients using on-body devices. Advancements in the field will result in quicker response times in emergency situations, and detect complications in patients at a much earlier stage potentially saving many lives. In this paper, we have used motion sensors instead of the more common physiological signals that need physical access to the body, like electrocardiograms (ECG), to pair devices and secure communication in Body Area Networks. Our method considers the acceleration of the devices that needs to communicate. These measurements tend to be similar as devices are deployed on the same host body, which means that these could be used to derive shared keys. We show that these measurements results in derived keys that are unpredictable and exhibit significant difference with previous keys. This is an improvement over existing schemes where keys vary for different hosts but tend to be similar over time.
Date of Conference: 08-10 June 2016
Date Added to IEEE Xplore: 17 November 2016
ISBN Information:
Electronic ISSN: 2163-5145