An Intelligent Context Aware Based Access Control Framework to Prevent Attacker Nodes in Internet of Things
Amritpal Kaur, Isha Batra, Aditya P. Bakshi · 2018
Internet of things is a network of internet-connected things which are capable to gather and interchange information by using ingrained sensors. The things in Internet of Things may be any item, an animal or a person. A unique identifier is given to each entity like object, person or an animal and all the things are capable to transfer the information over a network without needing human-to-computer or human-to-human cooperation. IoT provides many services, however on the further hand threats regarding the security are also growing. This research work will implement the access control policy on each node of IoT by using context awareness. The context aware approach is included to intelligently monitor the context and behavior type of the IoT nodes in the network, which is further used to determine the rate of data transfer among the network nodes. The nodes that will not follow the policy according to the context will not be provided the access to the network resources under this access control framework. This work will simplify the node recognition procedure by using the ontology, which will be used to describe the node identity, node's network performance and data transmission procedures.