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Malicious URL Detection Using Supervised Machine Learning Techniques
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2020
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Abuse DetectionEngineeringMachine LearningEvasion TechniqueInformation SecurityInformation ForensicsText MiningSpam FilteringData ScienceData MiningPattern RecognitionMachine Learning TechniquesShort-paper ShareTechnologyview ProfileThreat DetectionKnowledge DiscoveryAlert PreferencesCyber Threat IntelligencePhishing
short-paper Share on Malicious URL Detection Using Supervised Machine Learning Techniques Authors: Vara Vundavalli Kennesaw State University Kennesaw State UniversityView Profile , Farhat Barsha Military Institute of Science and Technology Military Institute of Science and TechnologyView Profile , Mohammad Masum KSU KSUView Profile , Hossain Shahriar Kennesaw State University Kennesaw State UniversityView Profile , Hisham Haddad KSU KSUView Profile Authors Info & Claims SIN 2020: 13th International Conference on Security of Information and NetworksNovember 2020 Article No.: 21Pages 1–6https://doi.org/10.1145/3433174.3433592Published:01 February 2021Publication History 2citation237DownloadsMetricsTotal Citations2Total Downloads237Last 12 Months139Last 6 weeks19 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
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