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dc.contributor.authorNagabhooshanam, N.
dc.contributor.authorSundara Ganapathy, N. Bala
dc.contributor.authorRavindra Murthy, C.
dc.contributor.authorAl Ansari, Mohammed Saleh
dc.contributor.authorCosio Borda, Ricardo Fernando
dc.date.accessioned2023-10-24T15:23:45Z
dc.date.available2023-10-24T15:23:45Z
dc.date.issued2023-05-24
dc.identifier.citationNagabhooshanam, N., Sundara, N. B., Ravindra, C., Al Ansari, M. S., & Cosio, R. F. (2023). Neural network based single index evaluation for SQL injection attack detection in health care data. Measurement: Sensors, 27, 1-6. https://doi.org/10.1016/j.measen.2023.100779es_PE
dc.identifier.other.es_PE
dc.identifier.urihttps://hdl.handle.net/11537/34734
dc.description.abstractIn recent years, there are a lot of security risks in the network, and there is the combination intersection between the computer network security problems and security evaluation. The scale of computer network is very large with vast information, so there are many loopholes in the system network. At present, many have established a computer network security evaluation system to monitor the network security vulnerabilities, viruses, and defects in healthcare. However, many places simply analyzed the risk assessment of network security, but there is no assessment of network security situation. For the network security evaluation system, there is no complete evaluation system of network information security. Therefore, a network security evaluation system must be constructed to develop an effective and practical simulation model of computer network security evaluation. Through the simulation model, the effect of network security can be improved. Since the reform and opening up, the simulation of computer network security evaluation in our country is a new subject. It can directly study the network security evaluation, build a network security evaluation model, and study the network security in detail. In the computer network simulation system, it can analyze, study, design, and plan various stages, so as to play an important role.es_PE
dc.formatapplication/pdfes_PE
dc.language.isospaes_PE
dc.publisherElsevier Ltd.es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.sourceUniversidad Privada del Nortees_PE
dc.sourceRepositorio Institucional - UPNes_PE
dc.subjectComputer networkses_PE
dc.subjectComputer viruseses_PE
dc.subjectHealth carees_PE
dc.subjectNetwork securityes_PE
dc.subjectRisk assessmentes_PE
dc.titleNeural network based single index evaluation for SQL injection attack detection in health care dataes_PE
dc.typeinfo:eu-repo/semantics/bachelorThesises_PE
dc.publisher.countryPEes_PE
dc.identifier.journalMeasurement: Sensorses_PE
dc.description.peer-reviewArtículo científicoes_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#5.02.01es_PE
dc.description.sedeComases_PE
dc.identifier.doihttps://doi.org/10.1016/j.measen.2023.100779


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