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Examination of data, rule generation and detection of phishing URLs using online logistic regression

contributor authorFeroz, Mohammed Nazim
contributor authorMengel, Susan
date accessioned2020-03-12T22:20:59Z
date available2020-03-12T22:20:59Z
date issued2014
identifier other7004239.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1079932?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleExamination of data, rule generation and detection of phishing URLs using online logistic regression
typeConference Paper
contenttypeMetadata Only
identifier padid8216301
subject keywordsWeb services
subject keywordsn mobility management (mobile radio)
subject keywordsn multimedia communication
subject keywordsn quality of service
subject keywordsn statistical analysis
subject keywordsn telecommunication traffic
subject keywordsn QoE estimation model
subject keywordsn browsing
subject keywordsn download
subject keywordsn end-user quality expectation
subject keywordsn investments
subject keywordsn mean opinion score estimation
subject keywordsn mobile Web service
subject keywordsn mobile data service
subject keywordsn mobile network
subject keywordsn mobile traffic call
subject keywordsn network operators
subject keywordsn networking infrastructure
subject keywordsn statistical tools
subject keywordsn upload
subject keywordsn user QoE
identifier doi10.1109/ICC.2014.6883466
journal titleig Data (Big Data), 2014 IEEE International Conference on
filesize1287428
citations0


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