Tamper detection of electrocardiographic signal using watermarked bio-hash code in wireless cardiology

Nilanjan Dey, Monalisa Dey, Sainik Kumar Mahata, Achintya Das, Sheli Sinha Chaudhuri

International Journal of Signal and Imaging Systems Engineering · 2015 · 29 citations · 0 references

Concepts

Abstract

The current globalised era is marked with a rapid increase in the use of wireless media to exchange information over globally distributed locations. This advancement and growth of technologically mediated information helps to provide medical care from a distant location by exchanging biomedical information amongst various hospitals and diagnostic centres across the world. However, while transmitting, the medical information becomes highly vulnerable to miscellaneous attacks like tampering and hacking. A watermark is added in the Electrocardiographic (ECG) signal to increase the level of security to help protect the integrity of the data and decrease the chances of wrong diagnosis. In this current work, a technique is proposed to detect undesirable modifications, if present, in a transmitted biomedical ECG signal. The proposed method is based on bio–hashing and reversible watermarking techniques.