Ajou University repository

On-line shared platform evaluation framework for advanced persistent threatsoa mark
Citations

SCOPUS

1

Citation Export

DC Field Value Language
dc.contributor.authorSohn, Dongsik-
dc.contributor.authorLee, Taejin-
dc.contributor.authorKwak, Jin-
dc.date.issued2019-05-31-
dc.identifier.urihttps://dspace.ajou.ac.kr/dev/handle/2018.oak/30796-
dc.description.abstractAdvanced persistent threats (APTs) are constant attacks of specific targets by hackers using intelligent methods. All current internal infrastructures are constantly subject to APT attacks created by external and unknown malware. Therefore, information security officers require a framework that can assess whether information security systems are capable of detecting and blocking APT attacks. Furthermore, an on-line evaluation of information security systems is required to cope with various malicious code attacks. A regular evaluation of the information security system is thus essential. In this paper, we propose a dynamic updated evaluation framework to improve the detection rate of internal information systems for malware that is unknown to most (over 60%) existing static information security system evaluation methodologies using non-updated unknown malware.-
dc.description.sponsorshipThis work was supported by the National Research Foundation Korea government(MSIT) (No. NRF-2017R1E1A1A01075110)-
dc.description.sponsorshipof Korea(NRF) grant funded by the-
dc.language.isoeng-
dc.publisherKorean Society for Internet Information-
dc.subject.meshAPT Evaluation-
dc.subject.meshDetection performance-
dc.subject.meshDetection rates-
dc.subject.meshEvaluation framework-
dc.subject.meshIntelligent method-
dc.subject.meshMalicious codes-
dc.subject.meshOn-line evaluation-
dc.subject.meshStatic information-
dc.titleOn-line shared platform evaluation framework for advanced persistent threats-
dc.typeArticle-
dc.citation.endPage2628-
dc.citation.startPage2610-
dc.citation.titleKSII Transactions on Internet and Information Systems-
dc.citation.volume13-
dc.identifier.bibliographicCitationKSII Transactions on Internet and Information Systems, Vol.13, pp.2610-2628-
dc.identifier.doi10.3837/tiis.2019.05.021-
dc.identifier.scopusid2-s2.0-85068486177-
dc.identifier.urlhttp://www.itiis.org/digital-library/manuscript/file/2385/TIIS+Vol+13,+No+5-21.pdf-
dc.subject.keywordAPT detection-
dc.subject.keywordAPT Evaluation-
dc.subject.keywordAPT evaluation framework-
dc.subject.keywordDetection Performance-
dc.subject.keywordIntrusion detection-
dc.description.isoatrue-
dc.subject.subareaInformation Systems-
dc.subject.subareaComputer Networks and Communications-
Show simple item record

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

Related Researcher

KWAK, JIN Image
KWAK, JIN곽진
Department of Cyber Security
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.