Over the last few years, there has been a number of publications suggesting the use of Electrocardiogram (ECG) as a biometric measure. Motivated by the level of sustainability to attacks the ECG provides, it can be combined in a multi-modal biometric identification system or, when the permanence and collectability issues are not an issue and the false positive margin problem is controlled and not critical, used alone for authentication of subjects. Its primary application can be in health care systems where the ECG is used for health measurements. It does furthermore, better than any other biometrics measures, deliver the proof of subject's being alive as extra information which other biometrics cannot deliver as easily. Nevertheless, the proposed feature extraction methods and experiments have not been published with a corresponding theoretical analysis of the maximum possibility of collision in an infinite domain of subjects and thus, as its current status it is best suited for complementing other metrics for a higher level of accuracy and proof of liveliness.

In this paper, we establish a hidden 802.11 wireless channel, with the masking of the channel achieved by inserting intentional errors in the frame check sequence (FCS). We design a frame handler module to provide a proof-of-concept model of the side-channel using MATLAB and Simulink with communication toolbox. We justify using MATLAB over the other simulation tools because of its existing functions: physical layer IEEE 802.11 wireless local area networking (WLAN) standard, existing modular channel fading models, the MAC layer cyclic redundancy checksum (CRC) generator, the CRC Syndrome detector, and the capability of modifying fields in a frame. These existing functions allow for the creation of a frame handler which generates frames, according to our design, to be inserted as erroneous frames and recovers frames from normal 802.11 traffic. Herein we provide the design and details of the implementation of the channel. Our design offers the ability to introduce error detection and correction capabilities, and protection against passive monitoring defences. This simulation framework is a step towards the development of more sophisticated environments including multi-node simulations that maintain robust and reliable side-channel communication.