SecurityTrust model
Trust graphThreshold cryptography a b s t r a c t A mobile ad hoc network (MANET) is a wireless communication network which does not rely on a pre-existing infrastructure or any centralized management. Securing the exchanges in MANETs is compulsory to guarantee a widespread development of services for this kind of networks. The deployment of any security policy requires the definition of a trust model that defines who trusts who and how. Our work aims to provide a fully distributed trust model for mobile ad hoc networks. In this paper, we propose a fully distributed public key certificate management system based on trust graphs and threshold cryptography. It permits users to issue public key certificates, and to perform authentication via certificates' chains without any centralized management or trusted authorities.Moreover, thanks to the use of threshold cryptography; our system resists against false public keys certification. We perform an overall evaluation of our proposed approach through simulations. The results indicate out performance of our approach while providing effective security.
The key management is the central element of network security. In fact, key distribution is necessary for securing applications in the context of Internet of Things (IoT). However, existing key management protocols are not directly applicable on IoT due, among other things, to severe and high resource constraints of some devices that make up the IoT network. Therefore, it is necessary that the proposed key management protocols takes in charge these features and constraints. Most existing solutions didn't focus on optimizing, at the same time, all performance criteria, like communication, computation and storage. Some of them put special emphasis on minimizing one criteria but ignore the others. In this paper, we propose a new lightweight matrix based key management protocol for Iot network, which is not only flexible, scalable and resilient to many types of attacks, but also can reduce the communication, computation and storage overheads at constrained nodes side. The security properties like authentication, integrity and secrecy have been checked by using the formal verification tool AVISPA. Moreover, security and performance analysis show that our scheme protects user's sensitive data from several types of attacks by achieving secure end-to-end communications, and optimizes the energy consumption, which is suitable for resource-limited networks.
Wireless Sensor and Actuator Networks (WSANs) are composed of a set of heterogeneous sensor and actuator nodes interconnected via wireless links. In WSANs, the actuators are responsible for taking prompt decisions and react accordingly to the data gathered by sensor nodes. In order to ensure efficient actions in such networks, we propose a new routing protocol that provides QoS in terms of end-to-end delay and energy consumption. The network is organized in clusters supervised by CHs (Cluster-Heads), elected according to a set of important metrics, namely the energy capability, the riches of connectivity, which is used to select the CH with high node density, and the accessibility degree regarding all the actuator nodes. The latter metric is the distance in number of hops of sensor nodes relative to the actuator nodes. This metric enhances more the network reliability by reducing the communication delay when alerting the actuator nodes, and hence, reducing the energy consumption. To reach efficiently the actuator nodes, we design a delay and energy sensitive routing protocol based on-demand routing approach. Our protocol incurs less end-to-end delay and is energy efficient. We perform an overall evaluation of our approach through simulations. The obtained results show out performance of our approach while providing effective gain in terms of end-to-end communication delay and energy consumption.
The importance of trust in social networks instigated many research efforts to understand it and predict it. However, the complex nature of trust and its counterpart; distrust; makes these tasks challenging. While early trust inference approaches ignore distrust, it seems that this concept gained much attention in recent years. Surely, knowing whom to distrust is as important as knowing whom to trust. We show in this paper that trust and distrust can be quickly predicted using some social traits of the trustor and the trustee. Using a "tug of war" analogy involving these traits, we have devised an intuitive approach that uses only the direct neighbors of the trustor and those of the trustee to predict both trust and distrust. Experiments on four real-world social networks show that our algorithm is very fast, provides good predictions, and is robust to network sparsity.
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