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Internet of Things (IoT) is a new network paradigm that allows the virtual presence of physical objects in our life. The main idea of IoT is origin from equipping daily life objects with embedded devices. Meanwhile, due to the low cost and high availability of sensor devices, wireless sensor networks (WSNs) have a great role in overspreading of IoT. This paper presents a new routing algorithm in order...
Wireless ad-hoc networks require a special management because of their hardware and energy limitations compared with wired networks. The problem of constructing a backbone structure over wireless ad-hoc networks has been widely researched. The basic problem is to minimize the wireless backbone size by taking into consideration the node's capabilities. Therefore, an efficient, self-organized, scalable,...
Security is one of the most important properties of wireless sensor networks, which are threatened by varied attacks, to approach practical deployment. Intrusion detection technology is a positive method to defense against security threats in wireless sensor networks. In this paper, characteristics and attack model of wireless sensor networks are deeply studied, and an intrusion detection model is...
In order to detect various kinds of malicious attacks in wireless sensor networks we proposed a Trust Model based intrusion detection scheme which meets the efficient lightweight and flexible property in this paper. It makes use of some nodes with high trust degree to monitor the whole cluster decreasing the huge power consumption and prolonging life of the whole networks. We propose an algorithm...
Cluster based organization is widely used to achieve energy efficiency in Wireless Sensor Networks (WSN). In order to achieve confidentiality of the sensed data it is necessary to have secret key shared between a node and its cluster head. Key management is challenging as the cluster head changes in every round in cluster based organization. In this paper we propose two schemes for key management...
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Outlier deTector (SPOT), to deal with the problem of anomaly detection from high-dimensional data streams. We conduct a case study of SPOT in this paper by deploying it on 1999 KDD Intrusion Detection application. Innovative approaches for training...
In this paper, we propose a blind image watermarking scheme based on bidimensional empirical mode decomposition (BEMD). BEMD is a possible 2D extension of empirical mode decomposition (EMD). We employ BEMD in watermark embedding and watermark extraction. In watermark embedding scheme at first, the original image is divided into K sub-images then in order to obtain a set of 2D-IMFs BEMD is applied...
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