Ensuring Privacy and Security in Body Area Sensor Networks

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Description: Body Area Sensor Network (BASN), with steady growth and increasing demand on the Internet of Things (IoT) based healthcare network systems, are getting widely popular day by day. A Wireless Body Area sensor network (BASN) is a wireless network of wearable devices. These body sensors that are mostly deployed in medical and healthcare systems. The busy way of life makes visiting clinical advisors or clinics at regular intervals, tedious. Also, several diagnostic and imaging devices, sensors, and medical equipment have now added up intelligence and become smart devices or objects, to add up to, one of the important parts of the IoT healthcare . So, a BASN can be used to connect several different sensors and devices that are placed both within and external to the human body. With this technology, patients can be monitored at home, and facilitate relevant data collection which saves time. Each node in a BASN is selfcontained and capable of searching for and locating a suitable path for data transmission at a remote site. For data transmission, the BASN node can connect to the internet and allows to keep track of the patient's health from a far. The growth of implantable and wearable sensors in BASNs for continuous monitoring of the condition or function of some body parts entails privacy and security concerns for patients. Ideally, the sensor gathered data is sent to the sink nodes or to the cloud which may further be transferred to medical servers. In a BASN, sensor nodes collect data from the human body and are connected to the external server or other telecommunication networks via a gateway node. The connecting networks could be a mobile network, a wireless local area network, or a hospital network. Since these devices use wireless medium to broadcast data, they become an easier target for attack. In this thesis we aim to register security concerns of BASN frameworks utilized in the medical care industry. We consider remote monitoring application of Body Area Sensor Networks which can be adopted for enabling medication at home in compliance with the treatment suggested by healthcare providers .