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Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/11052
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dc.contributor.authorSule, Aishat Aladi-
dc.contributor.authorOyefolahan, Ishaq Oyebisi-
dc.contributor.authorAbdullahi, Mohammad Bashir-
dc.date.accessioned2021-07-22T19:02:03Z-
dc.date.available2021-07-22T19:02:03Z-
dc.date.issued2018-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/11052-
dc.language.isoenen_US
dc.publisherProceedings of the 1st CoNIMS International Conference and Workshop: Digital Security Consideration for Development (DiSec 2018), (pp.47-56), Lagos, Nigeriaen_US
dc.subjectIntrusion Detection, Artificial immune system, Clonal Selection Algorithmen_US
dc.titlePerformance Analysis-Based Parameter Tuning of Clonal Selection Algorithm for Anomaly Detectionen_US
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