Hamid Al-Hamadi

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In this paper we propose redundancy management of heterogeneous wireless sensor networks (HWSNs), utilizing multipath routing to answer user queries in the presence of unreliable and malicious nodes. The key concept of our redundancy management is to exploit the tradeoff between energy consumption vs. the gain in reliability, timeliness, and security to(More)
In this article, we propose and analyze dynamic redundancy management of integrated intrusion detection and tolerance for lifetime maximization of homogeneous clustered wireless sensor networks (WSNs). We take a holistic approach of integrating multisource and multipath routing for intrusion tolerance with majority voting for intrusion detection in our(More)
We propose and analyze adaptive network defense management for countering smart attack and selective capture which aim to cripple the basic data delivery functionality of a base station based wireless sensor network. With selective capture, the adversaries strategically capture sensors and turn them into inside attackers. With smart attack, an inside(More)
We propose and analyze adaptive network management for countering selective capture which aims to compromise critical sensor nodes close to the base station in a wireless sensor network (WSN) to block data delivery. We consider 3 countermeasures in the protocol design: (1) dynamic radio range adjustment; (2) multisource multipath routing for intrusion(More)
— Multisource multipath data routing to a remote sink node is an effective way to cope with unreliable and malicious nodes in autonomous wireless sensor networks (WSNs). In this paper we analyze the optimal amount of redundancy in terms of the number of source sensors sensing the same physical phenomena and the number of paths through which data are routed(More)
The physical world can be monitored by ubiquitous Internet of Things (IoT) devices through participatory sensing by which a huge amount of data is collected and analyzed in the cloud for hazard detection and response. In this paper, we propose a Trust as a Service (TaaS) cloud utility leveraging a cloud hierarchy for assessing service trustworthiness of IoT(More)
In this paper we propose a hierarchical cloud architecture for integrated mobility, service, and trust management of service-oriented Internet of Things (IoT) systems. This architecture supports scalability, reconfigurability, fault tolerance, and resiliency against cloud node failure and network disconnection, and can benefit both network operators and(More)
In this paper we analyze the tradeoff between energy consumption vs. Quality of Service (QoS) gain in reliability, timeliness, and security in heterogeneous wireless sensor networks (HWSNs) utilizing multipath routing to answer user queries in the presence of unreliable and malicious nodes. We formulate the tradeoff as an optimization problem for(More)
In WSN Sensor node near to the sink will exhaust their limited energy more rapidly than other sensor nodes, since they will have to forward huge data during multi hop transfer to the base station. Therefore network lifetime will be reduced because of hotspot problem. Important research issue is how to cope up with network lifetime. In this paper, a modified(More)
With the onset of the Internet of Things (IoT) era, the number of devices and sensors is increasing tremendously. This paper is concerned with Health IoT consisting of various devices carried by members of an environmental health community of interest (CoI). We propose trust based information sharing among the CoI users of these IoT devices, so that a(More)
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