MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Eujeanne | - |
dc.contributor.author | Park, Sung-Jun | - |
dc.contributor.author | Choi, Seokwoo | - |
dc.contributor.author | Chae, Dong-Kyu | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-06T11:37:41Z | - |
dc.date.available | 2022-07-06T11:37:41Z | - |
dc.date.created | 2021-12-08 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 1543-7221 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140454 | - |
dc.description.abstract | In this demo, we show MANIAC, a MAN-machIne collaborative system for malware Author Classification. It is developed to fight a number of author groups who have been generating lots of new malwares by sharing source code within a group and exploiting evasive schemes such as polymorphism and metamorphism. Notably, MANIAC allows users to intervene in the model's classification of malware authors with high uncertainty. It also provides effective interfaces and visualizations with users to achieve maximum classification accuracy with minimum human labor. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chae, Dong-Kyu | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/3460120.3485355 | - |
dc.identifier.scopusid | 2-s2.0-85119320522 | - |
dc.identifier.wosid | 000768478302046 | - |
dc.identifier.bibliographicCitation | Proceedings of the ACM Conference on Computer and Communications Security, pp.2441 - 2443 | - |
dc.relation.isPartOf | Proceedings of the ACM Conference on Computer and Communications Security | - |
dc.citation.title | Proceedings of the ACM Conference on Computer and Communications Security | - |
dc.citation.startPage | 2441 | - |
dc.citation.endPage | 2443 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordAuthor | interactive classification | - |
dc.subject.keywordAuthor | malware authors | - |
dc.subject.keywordAuthor | malware classification | - |
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.