Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6111
Full metadata record
DC FieldValueLanguage
dc.contributor.authorErkal, Yiğit-
dc.contributor.authorSezgin, Mustafa-
dc.contributor.authorGündüz, Sedef-
dc.date.accessioned2021-09-11T15:34:58Z-
dc.date.available2021-09-11T15:34:58Z-
dc.date.issued2015en_US
dc.identifier.citationIEEE 14th International Conference on Machine Learning and Applications ICMLA -- DEC 09-11, 2015 -- Miami, FLen_US
dc.identifier.isbn978-1-5090-0287-0-
dc.identifier.urihttps://doi.org/10.1109/ICMLA.2015.133-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6111-
dc.description.abstractThis study proposes an autonomous early decision system for cyber security related contents of Twitter. In the context, both cyber and non-cyber security related tweets are collected and the obtained data is trained by means of Naive Bayes Classifier. Besides, Term Frequency - Inverse Document Frequency (TF-IDF) term weighting method is used for vectorization purpose. Experimental results show that, the developed system can classify the tweets in terms of their cyber security related or non-related security with the 70.03% success rate. It can be included that the system can be used as an alert system on Twitter for early cyber-attack detection.en_US
dc.description.sponsorshipIEEE, AML&Aen_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartof2015 IEEE 14Th International Conference On Machine Learning And Applications (Icmla)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOnline Social Networksen_US
dc.subjectCyber Securityen_US
dc.subjectAttacksen_US
dc.subjectDetection Systemen_US
dc.subjectTwitteren_US
dc.titleA New Cyber Security Alert System for Twitteren_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.startpage766en_US
dc.identifier.endpage770en_US
dc.authorid0000-0001-9693-1827-
dc.identifier.wosWOS:000380483600138en_US
dc.institutionauthorSezgin, Mustafa-
dc.identifier.doi10.1109/ICMLA.2015.133-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE 14th International Conference on Machine Learning and Applications ICMLAen_US
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Object-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

5
checked on Nov 16, 2024

WEB OF SCIENCETM
Citations

7
checked on Aug 31, 2024

Page view(s)

52
checked on Nov 11, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.