Abstract: The recent advances in electronic and robotics industry have enabled the manufacturing of sensors capable of measuring a set of application-oriented parameters and transmit them back to the base station for analysis purposes. These sensors are widely used in many applications including the healthcare systems forming though a Wireless Body Sensor Networks. The medical data must be highly secured and possible intrusion has to be fully detected to proceed with the prevention phase. In this paper, we propose a new intrusion superframe schema for 802.15.6 standard to detect the cloning attack. The results proved the efficiency of our technique in detecting this type of attack based on 802.15.6 parameters performances coupled with frequency switching at the radio model.

Nadya El MOUSSAID, Ahmed TOUMANARI and Maryam EL AZHARI, “Intrusion Detection in Wireless Body Sensor Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 8(1), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080157

@article{MOUSSAID2017,
title = {Intrusion Detection in Wireless Body Sensor Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080157},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080157},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {1},
author = {Nadya El MOUSSAID and Ahmed TOUMANARI and Maryam EL AZHARI}
}