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1. Identity statement Reference Type Conference Paper (Conference Proceedings) Site mtc-m21d.sid.inpe.br Holder Code isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S Identifier 8JMKD3MGP3W34T/45HFDCL Repository sid.inpe.br/mtc-m21d/2021/10.04.14.45 Metadata Repository sid.inpe.br/mtc-m21d/2021/10.04.14.45.14 Metadata Last Update 2022:04.03.23.14.36 (UTC) administrator Secondary Key INPE--PRE/ DOI 10.1007/978-3-030-86970-0_7 ISBN 978-303086969-4 ISSN 03029743 Citation Key PimentaSantGrég:2021:InMaMo Title Family Matters: On the Investigation of [Malicious] Mobile Apps Clustering Format On-line Year 2021 Access Date 2024, May 09 Secondary Type PRE CI 2. Context Author 1 Pimenta, Thalita S. R. 2 Santos, Rafael Duarte Coelho dos 3 Grégio, A. Resume Identifier 1 2 8JMKD3MGP5W/3C9JJ4N Group 1 2 COPDT-CGIP-INPE-MCTI-GOV-BR Affiliation 1 Instituto Federal do Paraná (IFPR) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Universidade Federal do Paraná (UFPR) Author e-Mail Address 1 thalita.pimenta@ifpr.edu.br 2 rafael.santos@inpe.br 3 gregio@inf.ufpr.br Conference Name International Conference on Computational Science and its Applications, 21 Conference Location Online Date 13-16 Sept. Pages 79-94 Book Title Proceedings History (UTC) 2021-10-04 14:45:42 :: simone -> administrator :: 2021 2022-04-03 23:14:36 :: administrator -> simone :: 2021 3. Content and structure Is the master or a copy? is the master Content Stage completed Transferable 1 Content Type External Contribution Version Type publisher Keywords Clustering Lineage Mobile malware Abstract As in the classification of biological entities, malicious software may be grouped into families according to their features and similarity levels. Lineage identification techniques can speed up the mitigation of malware attacks and the development of antimalware solutions by aiding in the discovery of previously unknown samples. The goal of this work is to investigate how the use of hierarchical clustering on malware statically extracted features can help on explaining the distribution of applications into specific groups. To do so, we collected 76 samples of several versions from popular, legitimate mobile applications and 111 malicious applications from 11 well-known scareware families, produced their dendograms, and discussed the outcomes. Our results show that the proposed apporach is promising for the verification of relationships found between samples and their attributes. Area COMP Arrangement urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGIP > Family Matters: On... doc Directory Content there are no files source Directory Content there are no files agreement Directory Content agreement.html 04/10/2021 11:45 1.0 KiB  4. Conditions of access and use Language en User Group simone Reader Group administrator simone Visibility shown Update Permission not transferred 5. Allied materials Next Higher Units 8JMKD3MGPCW/46KUES5 Host Collection urlib.net/www/2021/06.04.03.40 6. Notes Empty Fields archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume 7. Description control e-Mail (login) simone update

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