FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2466944894> ?p ?o ?g. }

• W2466944894 endingPage "994" @default.
• W2466944894 startingPage "977" @default.
• W2466944894 abstract "Purpose – Phishing is one of the major challenges faced by the world of e-commerce today. Thanks to phishing attacks, billions of dollars has been lost by many companies and individuals. The global impact of phishing attacks will continue to be on the increase and thus a more efficient phishing detection technique is required. The purpose of this paper is to investigate and report the use of a nature inspired based-machine learning (ML) approach in classification of phishing e-mails. Design/methodology/approach – ML-based techniques have been shown to be efficient in detecting phishing attacks. In this paper, firefly algorithm (FFA) was integrated with support vector machine (SVM) with the primary aim of developing an improved phishing e-mail classifier (known as FFA_SVM), capable of accurately detecting new phishing patterns as they occur. From a data set consisting of 4,000 phishing and ham e-mails, a set of features, suitable for phishing e-mail detection, was extracted and used to construct the hybrid classifier. Findings – The FFA_SVM was applied to a data set consisting of up to 4,000 phishing and ham e-mails. Simulation experiments were performed to evaluate and compared the performance of the classifier. The tests yielded a classification accuracy of 99.94 percent, false positive rate of 0.06 percent and false negative rate of 0.04 percent. Originality/value – The hybrid algorithm has not been earlier apply, as in this work, to the classification and detection of phishing e-mail, to the best of the authors’ knowledge." @default.
• W2466944894 created "2016-07-22" @default.
• W2466944894 creator A5002596852 @default.
• W2466944894 creator A5063833021 @default.
• W2466944894 date "2016-06-06" @default.
• W2466944894 modified "2023-09-27" @default.
• W2466944894 title "A hybrid firefly and support vector machine classifier for phishing email detection" @default.
• W2466944894 cites W125223006 @default.
• W2466944894 cites W13034104 @default.
• W2466944894 cites W1573528873 @default.
• W2466944894 cites W1880332085 @default.
• W2466944894 cites W1977860450 @default.
• W2466944894 cites W1985920648 @default.
• W2466944894 cites W1989931667 @default.
• W2466944894 cites W2011211026 @default.
• W2466944894 cites W2018517573 @default.
• W2466944894 cites W2020355555 @default.
• W2466944894 cites W2044587647 @default.
• W2466944894 cites W2062289758 @default.
• W2466944894 cites W2077388991 @default.
• W2466944894 cites W2086119901 @default.
• W2466944894 cites W2090727353 @default.
• W2466944894 cites W2134750673 @default.
• W2466944894 cites W2139565456 @default.
• W2466944894 cites W2148614760 @default.
• W2466944894 cites W2153635508 @default.
• W2466944894 cites W2158063174 @default.
• W2466944894 cites W2165267130 @default.
• W2466944894 cites W2166179755 @default.
• W2466944894 cites W2166731089 @default.
• W2466944894 cites W2323969083 @default.
• W2466944894 cites W2545816440 @default.
• W2466944894 cites W4239510810 @default.
• W2466944894 doi "https://doi.org/10.1108/k-07-2014-0129" @default.
• W2466944894 hasPublicationYear "2016" @default.
• W2466944894 type Work @default.
• W2466944894 sameAs 2466944894 @default.
• W2466944894 citedByCount "21" @default.
• W2466944894 countsByYear W24669448942017 @default.
• W2466944894 countsByYear W24669448942018 @default.
• W2466944894 countsByYear W24669448942019 @default.
• W2466944894 countsByYear W24669448942020 @default.
• W2466944894 countsByYear W24669448942021 @default.
• W2466944894 countsByYear W24669448942022 @default.
• W2466944894 crossrefType "journal-article" @default.
• W2466944894 hasAuthorship W2466944894A5002596852 @default.
• W2466944894 hasAuthorship W2466944894A5063833021 @default.
• W2466944894 hasConcept C110875604 @default.
• W2466944894 hasConcept C119857082 @default.
• W2466944894 hasConcept C12267149 @default.
• W2466944894 hasConcept C124101348 @default.
• W2466944894 hasConcept C136764020 @default.
• W2466944894 hasConcept C154945302 @default.
• W2466944894 hasConcept C154982244 @default.
• W2466944894 hasConcept C41008148 @default.
• W2466944894 hasConcept C83860907 @default.
• W2466944894 hasConcept C85617194 @default.
• W2466944894 hasConcept C95623464 @default.
• W2466944894 hasConceptScore W2466944894C110875604 @default.
• W2466944894 hasConceptScore W2466944894C119857082 @default.
• W2466944894 hasConceptScore W2466944894C12267149 @default.
• W2466944894 hasConceptScore W2466944894C124101348 @default.
• W2466944894 hasConceptScore W2466944894C136764020 @default.
• W2466944894 hasConceptScore W2466944894C154945302 @default.
• W2466944894 hasConceptScore W2466944894C154982244 @default.
• W2466944894 hasConceptScore W2466944894C41008148 @default.
• W2466944894 hasConceptScore W2466944894C83860907 @default.
• W2466944894 hasConceptScore W2466944894C85617194 @default.
• W2466944894 hasConceptScore W2466944894C95623464 @default.
• W2466944894 hasIssue "6" @default.
• W2466944894 hasLocation W24669448941 @default.
• W2466944894 hasOpenAccess W2466944894 @default.
• W2466944894 hasPrimaryLocation W24669448941 @default.
• W2466944894 hasRelatedWork W1996541855 @default.
• W2466944894 hasRelatedWork W2101819884 @default.
• W2466944894 hasRelatedWork W2466944894 @default.
• W2466944894 hasRelatedWork W2937631562 @default.
• W2466944894 hasRelatedWork W2961085424 @default.
• W2466944894 hasRelatedWork W3136979370 @default.
• W2466944894 hasRelatedWork W3194539120 @default.
• W2466944894 hasRelatedWork W3195168932 @default.
• W2466944894 hasRelatedWork W4205958290 @default.
• W2466944894 hasRelatedWork W4361795583 @default.
• W2466944894 hasVolume "45" @default.
• W2466944894 isParatext "false" @default.
• W2466944894 isRetracted "false" @default.
• W2466944894 magId "2466944894" @default.
• W2466944894 workType "article" @default.