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dc.contributor.author | Alrajeh, Nabil Ali | es_ES |
dc.contributor.author | Lloret, Jaime | es_ES |
dc.date.accessioned | 2014-10-16T18:17:20Z | |
dc.date.available | 2014-10-16T18:17:20Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 1550-1329 | |
dc.identifier.uri | http://hdl.handle.net/10251/43346 | |
dc.description.abstract | [EN] Intrusion detection system (IDS) is regarded as the second line of defense against network anomalies and threats. IDS plays an important role in network security. There are many techniques which are used to design IDSs for specific scenario and applications. Artificial intelligence techniques are widely used for threats detection. This paper presents a critical study on genetic algorithm, artificial immune, and artificial neural network (ANN) based IDSs techniques used in wireless sensor network (WSN) | es_ES |
dc.description.sponsorship | The authors extend their appreciation to the Distinguished Scientist Fellowship Program(DSFP) at King Saud University for funding this research. | |
dc.language | Inglés | es_ES |
dc.publisher | Hindawi Publishing Corporation | es_ES |
dc.relation.ispartof | International Journal of Distributed Sensor Networks | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject.classification | INGENIERIA TELEMATICA | es_ES |
dc.title | Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1155/2013/351047 | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres | es_ES |
dc.description.bibliographicCitation | Alrajeh, NA.; Lloret, J. (2013). Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2013(351047):1-6. https://doi.org/10.1155/2013/351047 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1155/2013/351047 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 6 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 2013 | es_ES |
dc.description.issue | 351047 | es_ES |
dc.relation.senia | 265804 | |
dc.contributor.funder | King Saud University, Arabia Saudí |