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Anomaly-based intrusion detection and prevention system on website usage using rule-growth sequential pattern analysis: Case study: Statistics of Indonesia (BPS) website

contributor authorTrio Pramono, Yohanes Wahyu
contributor authorSuhardi
date accessioned2020-03-12T22:22:47Z
date available2020-03-12T22:22:47Z
date issued2014
identifier other7005941.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1081007?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAnomaly-based intrusion detection and prevention system on website usage using rule-growth sequential pattern analysis: Case study: Statistics of Indonesia (BPS) website
typeConference Paper
contenttypeMetadata Only
identifier padid8217450
subject keywordsmatrix algebra
subject keywordsn maximum likelihood estimation
subject keywordsn signal detection
subject keywordsn bias-corrected estimator
subject keywordsn classical maximum likelihood estimator
subject keywordsn downward bias
subject keywordsn estimator asymptotic normality
subject keywordsn high-dimensional context
subject keywordsn high-dimensional issue
subject keywordsn high-dimensional signal detection model
subject keywordsn noise variance estimation
subject keywordsn random matrix theory
subject keywordsn receiver number
subject keywordsn sample size
subject keywordsn standard inference solution
subject keywordsn Conferences
subject keywordsn Context
subject keywordsn Educational institutions
subject keywordsn Eig
identifier doi10.1109/SSP.2014.6884564
journal titledvanced Informatics: Concept, Theory and Application (ICAICTA), 2014 International Conference of
filesize251964
citations0


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