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Katerina Mitrokotsa
Title
Prof. Dr.
Last Name
Mitrokotsa
First name
Katerina
Email
katerina.mitrokotsa@unisg.ch
Phone
+41 71 224 7861
Homepage
Twitter
https://twitter.com/mitrokat
Now showing
1 - 8 of 8
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PublicationVIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things.(Elsevier, 2018-07-21)
Scopus© Citations 9 -
PublicationType: journal articleJournal: Computers and SecurityVolume: 64
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PublicationDifferential Privacy for Bayesian Inference through Posterior Sampling.(Microtome Publishing, 2017)
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PublicationDistance Bounding Protocols: Are you Close Enough?Distance-bounding protocols can offer protection against attacks on access control systems that require users to both verify their credentials and prove their location. However, tradeoffs among accuracy, cost, and privacy are necessary.
Scopus© Citations 6 -
PublicationExpected loss analysis for authentication in constrained channels.We derive bounds on the expected loss for authentication protocols in channels which are constrained due to noisy conditions and communication costs. This is motivated by a number of authentication protocols, where at least some part of the authentication is performed during a phase, lasting n rounds, with no error correction. This requires assigning an acceptable threshold for the number of detected errors and taking into account the cost of incorrect authentication and of communication. This paper describes a framework enabling an expected loss analysis for all the protocols in this family. Computationally simple methods to obtain nearly optimal values for the threshold, as well as for the number of rounds are suggested and upper bounds on the expected loss, holding uniformly, are given. These bounds are tight, as shown by a matching lower bound. Finally, a method to adaptively select both the number of rounds and the threshold is proposed for a certain class of protocols.Type: journal articleJournal: Journal of Computer SecurityVolume: 23Issue: 3DOI: 10.3233/JCS-140521
Scopus© Citations 4 -
PublicationIntrusion Detection in MANET using Classification Algorithms: The Effects of Cost and Model Selection.Intrusion detection is frequently used as a second line of defense in Mobile Ad-hoc Networks (MANETs). In this paper we examine how to properly use classification methods in intrusion detection for MANETs. In order to do so we evaluate five supervised classification algorithms for intrusion detection on a number of metrics. We measure their performance on a dataset, described in this paper, which includes varied traffic conditions and mobility patterns for multiple attacks. One of our goals is to investigate how classification performance depends on the problem cost matrix. Consequently, we examine how the use of uniform versusweighted cost matrices affects classifier performance. A second goal is to examine techniques for tuning classifiers when unknown attack subtypes are expected during testing. Frequently, when classifiers are tuned using cross-validation, data from the same types of attacks are available in all folds. This differs from real-world employment where unknown types of attacks may be present. Consequently, we develop a sequential cross-validation procedure so that not all types of attacks will necessarily be present across all folds, in the hope that this would make the tuning of classifiers more robust. Our results indicate that weighted cost matrices can be used effectively with most statistical classifiers and that sequential cross-validation can have a small, but significant effect for certain types of classifiers.Type: journal articleJournal: Ad Hoc NetworksVolume: 11Issue: 1
Scopus© Citations 84 -
PublicationOn selecting the nonce length in distance-bounding protocols.(Oxford University Press, 2013-04-04)
Scopus© Citations 14 -
PublicationReid et al.'s Distance Bounding Protocol and Mafia Fraud Attacks over Noisy Channels.(IEEE, 2010-02-05)
Scopus© Citations 22