Using the Characteristic Value of the Body Channel for Encryption of Body Area Networks

Abstract

Body area network (BAN) consists of intercommunicating sensors, which are either wearable, or can be implanted into the human body. Being a network that features critical information, BAN requires encryption, however common encryption methods found in computer networks are not ideal due to complex algorithms and high power consumption. The authors propose a new encryption method based on the human body channel. This new encryption method has the advantages of low-power, dynamic updating, rapid operation, and easy implementation, which is suitable for BAN systems.