Fast Malware Classification using Counting Bloom Filter
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, BooJong | - |
dc.contributor.author | Kim, Hye Seon | - |
dc.contributor.author | Kim, Taeguen | - |
dc.contributor.author | Kwon, Heejun | - |
dc.contributor.author | Im, Eul Gyu | - |
dc.date.accessioned | 2022-07-16T14:39:20Z | - |
dc.date.available | 2022-07-16T14:39:20Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2012-07 | - |
dc.identifier.issn | 1343-4500 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/165174 | - |
dc.description.abstract | As attackers make variants of existing malware, it is possible to detect unknown malware by using already-known malware's information. Control Flow Graphs (CFGs) have been used in malware analysis but the graph isomorphism problem is well-known as one of the most difficult problem to solve. In this paper, we proposed a new fast method which can detect malware binaries using CFGs by abstracting common characteristics of malware families. Our method also uses Counting Bloom Filter to find approximate solution of the graph isomorphism problem. The experimental results showed that processing overhead of our proposed method is much lower than n-gram based methods. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | INT INFORMATION INST | - |
dc.title | Fast Malware Classification using Counting Bloom Filter | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Im, Eul Gyu | - |
dc.identifier.scopusid | 2-s2.0-84864352716 | - |
dc.identifier.wosid | 000306499800020 | - |
dc.identifier.bibliographicCitation | INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, v.15, no.7, pp.2879 - 2892 | - |
dc.relation.isPartOf | INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL | - |
dc.citation.title | INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL | - |
dc.citation.volume | 15 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 2879 | - |
dc.citation.endPage | 2892 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.subject.keywordAuthor | Network security | - |
dc.subject.keywordAuthor | Malware analysis | - |
dc.subject.keywordAuthor | Control flow graph | - |
dc.subject.keywordAuthor | Counting bloom filter | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.