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dc.contributor.authorSánchez Casado, Leovigildo
dc.contributor.authorMacía Fernández, Gabriel 
dc.contributor.authorGarcía Teodoro, Pedro 
dc.contributor.authorMagán Carrión, Roberto
dc.description.abstractThis work introduces a model of data forwarding in MANETs which is used for recognizing malicious packet dropping behaviors. First, different legitimate packet discard situations are modeled, such as those generated by collisions, channel errors or mobility related droppings. Second, we propose an anomaly-based IDS system based on an enhanced windowing method to carry out the collection and analysis of selected crosslayer features. Third, a real deployment of the IDS is also considered by suggesting a methodology for the collection of the selected features in a distributed manner. We evaluate our proposal in a simulation framework and the experimental results show a considerable enhancement in detection results when compared with other approaches in the literature. For instance, our scheme shows a 22% improvement in terms of true positives rate and a remarkable 83% improvement in terms of false positives rate when compared to previous well-known statistical solutions. Finally, it is notable the simplicity and lightweightness of the proposal.es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.subjectMalicious nodees_ES
dc.subjectMANET (Mobile Ad hoc NETwork)es_ES
dc.subjectPacket dropping attackses_ES
dc.titleA Model of Data Forwarding in MANETs for Lightweight Detection of Malicious Packet Droppinges_ES

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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España