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dc.contributor.authorSingh Bhati, Nitesh
dc.contributor.authorKhari, Manju
dc.contributor.authorGarcía-Díaz, Vicente
dc.contributor.authorVerdú, Elena (1)
dc.date2020-12
dc.date.accessioned2021-04-19T14:08:55Z
dc.date.available2021-04-19T14:08:55Z
dc.identifier.issn1793-6411
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11198
dc.description.abstractAn Intrusion Detection System (IDS) is a network security system that detects, identifies, and tracks an intruder or an invader in a network. As the usage of the internet is growing every day in our society, the IDS is becoming an essential part of the network security system. Therefore, the proper research and implementation of IDSs are required. Today, with the help of improved technologies at our disposal, many solutions have been found to create many intrusion detection systems. However, it is difficult to identify the perfect solution from the vast options we have available. Hence, motivated by the need of a better security system, this paper presents a survey of different published solutions that have been developed and/or researched on the topic of intrusion detection techniques during the period from 2000 to 2019, including the accuracy of the output. With the help of this survey, an all-inclusive view of the different papers would be at one's disposal.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systemses_ES
dc.relation.ispartofseries;vol. 28. Supl. 2
dc.relation.urihttps://www.worldscientific.com/doi/abs/10.1142/S0218488520400140es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectIntrusion Detection System (IDS)es_ES
dc.subjectmachine learninges_ES
dc.subjectfuzzy logices_ES
dc.subjectpopulation-based algorithmes_ES
dc.subjectcolony-based algorithmes_ES
dc.subjectneural networkes_ES
dc.subjectJCRes_ES
dc.subjectScopuses_ES
dc.titleA Review on Intrusion Detection Systems and Techniqueses_ES
dc.typereviewes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttp://dx.doi.org/10.1142/S0218488520400140


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