Design and Evaluation of Energy Efficient ECG Based Security Protocol for Wireless Body Area Network

Abstract

The human monitoring system is emerging rapidly, as the Wireless newlineBody Area Network (WBAN) facilitates many comforts to a patient under newlinemedical analysis. The advancement in the Wireless Body Area Network newline(WBAN) makes the medical analysis of the patient ever from a remote place. newlineThe critical concern in the Body Area Network is the security of the patient newlinedata. Sensitive medical data of a patient can be pirated considering the newlinepossibility of an attack on the sensatory nodes. Similar to other wireless newlinesensor networks WBAN is also prone to all types of attacks. Despite the newlinehospital network is protected, still some malicious entity can access illegally newlinethrough wireless communication. The communicated information between newlinetwo sensors can be disclosed. To countermeasure all the attacks WBAN newlinesecurity becomes important. Security for WBAN is a challenge as they newlinehandle physiological data. Motivated by this, in this research an Energy newlineEfficient ECG Based Security Protocol for WBAN has been designed and newlineevaluated. The recent technique to enable secure communication in WBAN newlineis Biometrics, where the physiological characteristics or behavioral qualities newlineare used to provide authentication between the communicating entities. In newlinethe proposed work the authentication of the body sensor nodes to the Base newlinestation is done by using the features of ECG data. newlineThe body itself is used for managing cryptography keys between the newlinenodes and the base station. The sensed value is used to generate a newlinecryptography key which is same on both the sides. Next it is also applied to newlineencrypt and decrypt the data to be communicated. The physiological value newlinefor key generation should be chosen such that it exhibit time variance and newlinerandomness. ECG proves to be appropriate for the above cause. In the first newlinelevel, an efficient R-peak detection algorithm is proposed. The algorithm newlinedeals with the ECG analysis and the detection of R-peak. newline