01013nam a22002057a 4500952011900000999001700119040003600136082001500172100002700187245006900214260003500283300003600318500015900354500004100513500003800554502005400592546001200646650014200658942000700800  00104071aEVCbEVCd2020-03-08eRiphah International Universityl0o005.8 TAHp52718r2020-03-08 00:00:00t1yTH  c30573d30573  cRiphah International University  a005.8bTAH  aTaha, Muhammad (20998)  aMalicious javascript detection techniques using machine learning  aIslamabadb(unpublished)c2019  ax, 54 p.b: ill.c; 30 cm.e+CD  aA thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science in Information Security to the Faculty of Computing.  aIncludes bibliographical references.  aThesis supervisor: Mr. Masood Ali  aThesis(MS)--Riphah International University, 2019  aEnglish  aInformation securityaComputer securityvMalicious JavaScript featuresvJavaScript malwarevMachine learningvAttack classificationvRISE  cTH