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dc.contributor.author | Alrajeh, Nabil Ali | es_ES |
dc.contributor.author | Khan, Shafiullah | es_ES |
dc.contributor.author | Lloret, Jaime | es_ES |
dc.contributor.author | Loo, Jonathan | es_ES |
dc.date.accessioned | 2015-06-01T15:01:52Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 1551-9899 | |
dc.identifier.uri | http://hdl.handle.net/10251/51078 | |
dc.description.abstract | [EN] Energy consumption is the important factor when designing any mechanism for wireless sensor network (WSN). Research community is trying to enable energy harvesting mechanisms to provide long term energy source to WSN. However, energy consumption is generally greater than energy harvesting in WSN. Furthermore, if nodes are under any kind of energy exhaustion security attack, then energy harvesting mechanism cannot extend the lifetime of the WSN. In this paper, we propose a detection mechanism of energy exhaustion attacks that uses an artificial neural network (ANN). It has been developed for cluster-based WSN and takes into account the energy harvesting system. Simulation results show that our mechanism can detect and prevent such kind of attacks, even having lower percentage of false positives than other systems, and thus enlarge the wireless sensor node lifetime. | es_ES |
dc.description.sponsorship | The authors extend their appreciation to the Research Centre, College of Applied Medical Sciences and the Deanship of Scientific Research at King Saud University for funding this research. | |
dc.language | Inglés | es_ES |
dc.publisher | Old City Publishing | es_ES |
dc.relation.ispartof | Adhoc and Sensor Wireless Networks | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Wireless sensor network | es_ES |
dc.subject | Security | es_ES |
dc.subject | Energy exhaustion attack | es_ES |
dc.subject | Cluster | es_ES |
dc.subject | Energy harvesting | es_ES |
dc.subject | Artificial neural network | es_ES |
dc.subject.classification | INGENIERIA TELEMATICA | es_ES |
dc.title | Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting | es_ES |
dc.type | Artículo | es_ES |
dc.embargo.lift | 10000-01-01 | |
dc.embargo.terms | forever | es_ES |
dc.rights.accessRights | Cerrado | 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.; Khan, S.; Lloret, J.; Loo, J. (2014). Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting. Adhoc and Sensor Wireless Networks. 22(1-2):109-133. http://hdl.handle.net/10251/51078 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.description.upvformatpinicio | 109 | es_ES |
dc.description.upvformatpfin | 133 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 22 | es_ES |
dc.description.issue | 1-2 | es_ES |
dc.relation.senia | 287260 | |
dc.identifier.eissn | 1552-0633 | |
dc.contributor.funder | King Saud University, Arabia Saudí |