Salim Zair

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Intrusion detection systems (IDSs) have been widely used to overcome security threats in computer networks. Anomaly-based approaches have the advantage of being able to detect previously unknown attacks, but they suffer from the difficulty of building robust models of acceptable behaviour which may result in a large number of false alarms caused by(More)
In Global Navigation Satellite System (GNSS) positioning, urban environments represent an issue particularly because of multipath and nonline-of-sight effects. The latter effects induce erroneous pseudorange observations that then should be discarded in order not to affect the estimation of the receiver position. This paper proposes a new approach for the(More)
In urban areas or space-constrained environments with obstacles, vehicle localization using Global Navigation Satellite System (GNSS) data is hindered by Non-Line Of Sight (NLOS) and multipath receptions. These phenomena induce faulty data that disrupt the precise localization of the GNSS receiver. In this study, we detect the outliers among the(More)
In constrained environment such as urban areas, vehicle localization, using Global Navigation Satellite System (GNSS) data, is impaired by multipaths and Non Line Of Sight effects. These latter induce erroneous measurements that prevent the accurate estimation of the receiver position. In this paper, we propose to detect and discard these outliers in order(More)
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