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Internet of Things (IoT) becomes discretionary part of everyday life. Scalability and manageability is daunting due to unbounded number of devices and services. Access control and authorization in IoT with least privilege is equally important to establish secure communication between multiple devices and services. In this paper, the concept of capability for access control is introduced where the identities of the involved devices are entrenched in the access capabilities. Identity driven capability based access control (ICAC) scheme presented in this paper helps to alleviate issues related to complexity and dynamics of device identities. ICAC is implemented for 802.11 and results shows that ICAC has less scalability issues and better performance analysis compared with other access control schemes. The ICAC evaluation by using security protocol verification tool shows that ICAC is secure against man-in-the-middle attack, especially eavesdropping and replay attacks.

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In the Internet of things (IoT), the activities of daily life are supported by a multitude of heterogeneous, loosely coupled ubiquitous devices. Traditional access control models are not suitable to the nomadic, decentralized and dynamic scenarios in the IoT where identities are not known in advance. This makes the trust management in IoT more promising to address the access control issues .This paper present a Fuzzy approach to the Trust Based Access Control (FTBAC) with the notion of trust levels for identity management. The presented fuzzy approach for trust calculations deals with the linguistic information of devices to address access control in the IoT. The simulation result shows that the fuzzy approach for trust based access control guarantees scalability and it is energy efficient. This paper also proposes FTBAC framework for trust based dynamic access control in distributed IoT. FTBAC framework is a flexible and scalable as increasing number of devices do not affect the functioning and performance.

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Cognitive radios shall form cognitive radio network (CRN) to complete the packets delivery. As cognitive radio network is a general multihop wireless heterogeneous network, trust becomes a critical factor for network layer functions and network operation. We explore and develop the mathematical framework of trust in CRN, to further develop trusted routing with relevant explorations on network layer and above functions.

Internet of things (IoT) is an emerging paradigm where the devices around us (persistent and non-persistent) are connected to each other to provide seamless communication, and contextual services. In the IoT, each device cannot be authenticated in the short time due to unbounded number of devices, and receipt of their authentication request at the same time. Therefore, secure, and efficient group authentication, and authorization scheme is required that authenticates a group of devices at once in the context of resource constrained IoT. This paper presents novel Threshold Cryptography-based Group Authentication (TCGA) scheme for the IoT which verifies authenticity of all the devices taking part in the group communication. This paper also presents TCGA framework which is flexible and secure. The proposed TCGA scheme is implemented for WI-FI environment, and the result shows that TCGA scheme is lightweight, and alleviates the effect of battery exhaustion attack. This paper also presents time analysis, and formal security analysis of TCGA scheme which shows that the proposed TCGA scheme is safe from the replay, man-in-the-middle attack, and is scalable in nature.