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Lately, Random Binary Sequences (RBSs) are being computed using Heartbeat signals acquired from ECG and they are crucial for security purposes in wireless Body Sensor Networks (WBSNs). Presently, 128-bit RBSs in healthcare sector takes long computation time to be generated using ECG based heartbeat signals. To reduce the computation time, a novel technique for generation of RBSs using heartbeat’s Interpulse Intervals (IPI) is proposed in this paper. In this paper, the technique uses generation of monotonic increasing, finite IPI sequences and encoding process using cyclic block to extract entropic bits in high numbers from each of the IPI. The dataset used for this paper were taken from Physionet Arrhythmia database. Using the proposed method, around 16 bits can randomly be extracted from each ECG heartbeat signal In order to produce RBSs of 128 bits by concatenating eight IPIs sequentially. Using the tests given in National Institute of Standards and Technology statistical (NIST) and the hamming distance function, the distinctiveness and randomness of the generated RBSs of 128 bits can be measured. The RBSs of 128 bits that are generated from the results of both patients and healthy subjects can be utilized as encryption keys or identifiers in order to protect the WBSNs. The method proposed has been observed to be better than the existing methods by being four times faster. Key-Words: Interpulse Intervals (IPIs), Heartbeats, Security, Wireless Body Sensor Networks (WBSNs), Random Binary Sequences (RBSs).

Robust and Highly Secure Technique for Wireless Body Sensor Network Using Sequence of ECG Data