Securing Body Sensor Network with ECG
Title | Securing Body Sensor Network with ECG |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Yang, Xuechao, Yi, Xun, Khalil, Ibrahim, Han, Fengling, Tari, Zahir |
Conference Name | Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4806-5 |
Keywords | Diffie-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. |
URL | http://doi.acm.org/10.1145/3007120.3007121 |
DOI | 10.1145/3007120.3007121 |
Citation Key | yang_securing_2016 |