Name
Abstract | ||
|---|---|---|
In the past few years mobile healthcare has attracted a lot of attention from both industry and academia. Medical sensors are usually attached to or implanted inside patient body. Since sensing results of BAN can directly impact the control of medical equipment, the authenticity and integrity of sensing data is essential for safety of patients. Existing research focuses on differentiating on-body sensors from off-the-body impersonators with the help from a control unit. In this paper, we propose to exploit wireless channel characteristics to detect on-body impersonators in BAN networks. Depending on whether or not the sensors have line-of-sight connections with the off-the-body control unit, their communication channels demonstrate different properties. For an attacker who demonstrates similar channel characteristics as the victim, a user-configurable challenge-response mechanism is designed to expose the conflicting information submitted by the two nodes. Our simulation results show that with a small increase in communication and computation overhead, we can effectively detect the on-body impersonators. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CHASE.2016.29 | 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) |
Keywords | Field | DocType |
body area network,node impersonation attack,communication channel property | Key distribution in wireless sensor networks,Wireless,Communication channel,Computer network,Exploit,Medical equipment,Control unit,Body area network,Engineering,Wireless sensor network | Conference |
ISBN | Citations | PageRank |
978-1-5090-0944-2 | 0 | 0.34 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liping Xie | 1 | 160 | 23.74 |
| Weichao Wang | 2 | 500 | 33.87 |
| Tuan-fa Qin | 3 | 14 | 10.24 |