Internet of Things have brought exciting changes in the social norms, work environments and the prospects for future generations. These devices (Things) have already changed the way our networks are used for communication. With the introduction of machine to machine communication (M2M), where devices communicate without human involvement to perform routine day to day tasks.

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Introduction of Internet of Things in our lives have brought drastic changes in the social norms, working habits, ways of completing tasks and planning for future. Data about our interactions with everyday objects can be effectively transmitted to their destinations with many communicating tags that also often provide specific location information. The risk of potential eavesdropping is always a major concern of data owners. Since Internet of Things is primarily responsible for carrying data of smart objects which are mostly connected over wireless technologies, securing of information carried by these wireless links to safeguard the private information is of utmost importance. Cryptographic techniques to cypher data carried by the IoT networks is one possibility which is not feasible due to the lack of sufficient computing resources at the sensor end of IoT devices. In this paper, we discuss various security issues that haunt the secure IoT deployments and propose a layered solution model that prevents breach of security during transmission of data.

Internet of Things (IoT) essentially demands smart connectivity and contextual awareness of current networks with low power and cost effective wireless solutions. Routing is the backbone of the system controlling the flow of transmission. This work demonstrates a collation between performance investigations of a location-based routing protocol Geocast Adaptive Mesh Environment for Routing with contextual information collected from Global Positioning System (GPS) and Framework for Internal Navigation and Discovery (FIND) respectively. The systems are evaluated based on various metrics i.e. Accuracy, Packet Delivery Ratio and Packet Overhead by means of Network Simulator (NS-2). FIND shows enhanced performance in most cases as compared to GPS for indoor and outdoor environments. The results of this research can be deployed in different areas such as in-building navigation, hospital patient tracking, Smart City context aware service provisioning and Industry 4.0 deployments.

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