TY - GEN
T1 - Accelerometer based body area network sensor authentication
AU - Elyazidi, Saâd
AU - Escamilla-Ambrosio, Ponciano Jorge
AU - Gallegos-Garcia, Gina
AU - Rodríguez-Mota, Abraham
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.
PY - 2018
Y1 - 2018
N2 - In recent years, the increasing number of wearable sensors by humans can serve for many purposes like emergency care, health care remote monitoring, personal entertainment and communication. In the case of health care applications, wearable sensors enable long-term continuous physiological monitoring without disturbing day to day activities, which is important for the treatment and management of many chronic illnesses, neurological disorders, and mental health issues. Examples include: diabetes, autism spectrum disorder (ASD), depression, drug addiction, and anxiety disorders. In general, wearable sensors can be used individually or as networked systems. In any case, sensors communication and authentication are key aspects in the deployment of these systems. A Wireless Body Area Network (WBAN) is created by wearing small sensors on the human body. To ensure authentication in on-body sensor networks, a mechanism which intuitively proves that all the communicating nodes are trusted ones is required. In order to achieve sensor authentication, in this paper a technological approach where accelerometer data gathered from sensors are used to distinguish whether or not the devices are carried on the same individual’s body, is presented. This system detects this situation by calculating the correlations between embedded accelerometers in a cellphone and accelerometer sensors. We evaluate our method over a dataset of fifteen wearers with sensors in various positions on their body.
AB - In recent years, the increasing number of wearable sensors by humans can serve for many purposes like emergency care, health care remote monitoring, personal entertainment and communication. In the case of health care applications, wearable sensors enable long-term continuous physiological monitoring without disturbing day to day activities, which is important for the treatment and management of many chronic illnesses, neurological disorders, and mental health issues. Examples include: diabetes, autism spectrum disorder (ASD), depression, drug addiction, and anxiety disorders. In general, wearable sensors can be used individually or as networked systems. In any case, sensors communication and authentication are key aspects in the deployment of these systems. A Wireless Body Area Network (WBAN) is created by wearing small sensors on the human body. To ensure authentication in on-body sensor networks, a mechanism which intuitively proves that all the communicating nodes are trusted ones is required. In order to achieve sensor authentication, in this paper a technological approach where accelerometer data gathered from sensors are used to distinguish whether or not the devices are carried on the same individual’s body, is presented. This system detects this situation by calculating the correlations between embedded accelerometers in a cellphone and accelerometer sensors. We evaluate our method over a dataset of fifteen wearers with sensors in various positions on their body.
KW - Accelerometer
KW - Authentication
KW - Body
KW - Sensor
KW - Wireless network
UR - http://www.scopus.com/inward/record.url?scp=85044466506&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-73323-4_15
DO - 10.1007/978-3-319-73323-4_15
M3 - Contribución a la conferencia
AN - SCOPUS:85044466506
SN - 9783319733227
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 151
EP - 164
BT - Smart Technology - 1st International Conference, MTYMEX 2017, Proceedings
A2 - Lozoya-Santos, Jorge
A2 - Torres Guerrero, Francisco
A2 - Neira-Tovar, Leticia
A2 - Gonzalez Mendivil, Eduardo
A2 - Ramirez Flores, Pablo G.
A2 - Martin-Gutierrez, Jorge
PB - Springer Verlag
T2 - 1st EAI International Conference on Smart Technology, MTYMEX 2017
Y2 - 24 May 2017 through 26 May 2017
ER -