Symeon Papavassiliou

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In this letter, we propose an entropy-based modeling framework for supporting route stability in mobile ad hoc wireless networks. The basic motivations of the proposed modeling approach stem from the commonality observed in the location uncertainty in mobile ad hoc wireless networks and the concept of entropy. The corresponding results demonstrate that the(More)
Cloud-oriented content delivery networks (CCDNs) constitute a promising alternative to traditional content delivery networks. Exploiting the advantages and principles of the cloud, such as the pay as you go business model and geographical dispersion of resources, CCDN can provide a viable and cost-effective solution for realizing content delivery networks(More)
In our proposed structure, mobile nodes are organized into nonoverlapping clusters which have adaptive variable-sizes according to their respective mobility. The mobility-based clustering (MBC) approach we are proposing uses a combination of both physical and logical partitions of the network (i.e. geographic proximity and functional relation between nodes,(More)
In this article the emphasis is placed on the evaluation of the impact of intelligent flow sampling techniques on the detection and classification of network anomalies. Based on the observation that for specific-purpose applications such as anomaly detection a large fraction of information is contained in a small fraction of flows, we demonstrate that by(More)
In the current worldwide ICT scenario, a constantly growing number of ever more powerful devices (smartphones, sensors, household appliances, RFID devices, etc.) join the Internet, significantly impacting the global traffic volume (data sharing, voice, multimedia, etc.) and foreshadowing a world of (more or less) smart devices, or “things” in the Internet(More)
Cloud computing builds upon advances on virtualization and distributed computing to support cost-efficient usage of computing resources, emphasizing on resource scalability and on demand services. Moving away from traditional data-center oriented models, distributed clouds extend over a loosely coupled federated substrate, offering enhanced communication(More)
In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed wireless sensor network is proposed and evaluated. The emphasis of this work is placed on the data integrity and accuracy problem caused by compromised or malfunctioning nodes. One of the key features of the proposed approach is that it provides an(More)
The cloud represents a computing paradigm where shared configurable resources are provided as a service over the Internet. Adding intra- or intercloud communication resources to the resource mix leads to a networked cloud computing environment. Following the cloud infrastructure as a Service paradigm and in order to create a flexible management framework,(More)
In this paper an anomaly detection system based on Grid middleware that supports the efficient, scalable and secure monitoring of multiple instruments and sensors, is proposed and investigated. The Grid provides the means to control the sensors and gather information with security and reliability. The system includes a Decision Support Service that fuses(More)