Aikaterini Mitrokotsa

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Denial of Service (DoS) attacks constitute one of the major threats and among the hardest security problems in today s Internet. Of particular concern are Distributed Denial of Service (DDoS) attacks, whose impact can be proportionally severe. With little or no advance warning, a DDoS attack can easily exhaust the computing and communication resources of(More)
Errors involving medication administration can be costly, both in financial and in human terms. Indeed, there is much potential for errors due to the complexity of the medication administration process. Nurses are often singled out as the only responsible of these errors because they are in charge of drug administration. Nevertheless, the interventions of(More)
In this paper, we show that many formal and informal security results on distance-bounding (DB) protocols are incorrect/ incomplete. We identify that this inadequacy stems from the fact that the pseudorandom function (PRF) assumption alone, invoked in many security claims, is insufficient. To this end, we identify two distinct shortcomings of invoking the(More)
RFID (Radio Frequency Identification) systems are one of the most pervasive computing technologies with technical potential and profitable opportunities in a diverse area of applications. Among their advantages is included their low cost and their broad applicability. However, they also present a number of inherent vulnerabilities. This paper develops a(More)
We examine the robustness and privacy of Bayesian inference, under assumptions on the prior, and with no modifications to the Bayesian framework. First, we generalise the concept of differential privacy to arbitrary dataset distances, outcome spaces and distribution families. We then prove bounds on the robustness of the posterior, introduce a posterior(More)
In mobile ad hoc networks (MANET) specific Intrusion Detection Systems (IDSs) are needed to safeguard them since traditional intrusion prevention techniques are not sufficient in the protection of MANET. In this paper we present an intrusion detection engine based on neural networks combined with a protection method, which is based(More)
0950-7051/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.knosys.2012.06.016 ⇑ Corresponding author. Tel.: +34 91 624 6260. E-mail addresses: spastran@inf.uc3m.es (S. P sa@epfl.ch (A. Mitrokotsa), adiaz@inf.uc3m.es (A. O Peris-Lopez). Mobile Ad hoc Networks (MANETs) are wireless networks without fixed infrastructure based on the(More)
In this paper we present the design and evaluation of intrusion detection models for MANETs using supervised classification algorithms. Specifically, we evaluate the performance of the MultiLayer Perceptron (MLP), the Linear classifier, the Gaussian Mixture Model (GMM), the Naı̈ve Bayes classifier and the Support Vector Machine (SVM). The performance of the(More)
Denial of service attacks constitute one of the greatest problem in network security. Monitoring traffic is one of the main techniques used in order to find out the existence of possible outliers in the traffic patterns. In this paper, we propose an approach that detects denial of service attacks using emergent self-organizing maps. The approach is based on(More)