FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis-Reference-Cited by-同舟云学术

FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis

Published:2022 Issue: Volume:10 Page:20008-20018
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ban Younghoon¹^ORCID,Lee Sunjun²,Song Dokyung³^ORCID,Cho Haehyun²^ORCID,Yi Jeong Hyun²^ORCID

Affiliation:

1. School of Software Convergence, Soongsil University, Seoul, South Korea

2. School of Software, Soongsil University, Seoul, South Korea

3. Department of Computer Science, Yonsei University, Seoul, South Korea

Funder

Mid-Career Researcher and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), and Future Planning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09713838.pdf?arnumber=9713838

Reference48 articles.

1. AVclass2: Massive Malware Tag Extraction from AV Labels

2. struc2vec

3. Multi-view deep learning for zero-day Android malware detection

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5. Mystique

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