Visible to the public Securing Body Sensor Network with ECG

TitleSecuring Body Sensor Network with ECG
Publication TypeConference Paper
Year of Publication2016
AuthorsYang, Xuechao, Yi, Xun, Khalil, Ibrahim, Han, Fengling, Tari, Zahir
Conference NameProceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4806-5
KeywordsDiffie-Hallman, ECG, Group key agreement, Human Behavior, privacy, pubcrawl, Resiliency, Scalability, wearables security, Wireless Body sensor network
Abstract

The market of wearable healthcare monitoring devices has exploded in recent years as healthcare consciousness has increased. These types of devices usually consist of several biosensors, which can be worn on human bodies, such as the head, arms, and feet. The health status of a user can be analyzed according to the user's real-time vital signs that are collected from different biosensors. Due to personal medical data being transmitted through a wireless network, the data have to be encrypted. In this paper, a key agreement protocol for biosensors within Wireless Body Sensor Networks (WBSN) has been proposed based on the n-Party Diffie-Hellman key exchange protocol. In order to prevent the man-in-the-middle attacks, we have used Advance Encryption Standard (AES) encryption with Electrocardiography-based (ECG-based) keys to secure the key exchange procedures. The security and performance analysis show the feasibility of the proposed method.

URLhttp://doi.acm.org/10.1145/3007120.3007121
DOI10.1145/3007120.3007121
Citation Keyyang_securing_2016