Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns-Reference-Cited by-同舟云学术

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Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns

Published:2023 Issue: Volume:11 Page:102492-102507
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Benchadi Djafer Yahia M¹^ORCID,Batalo Bojan²^ORCID,Fukui Kazuhiro³^ORCID

Affiliation:

1. Degree Programs in Systems and Information Engineering, University of Tsukuba, Ibaraki, Tsukuba, Japan

2. National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Koto-ku, Japan

3. Institute of Systems and Information Engineering, University of Tsukuba, Ibaraki, Tsukuba, Japan

Funder

Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10244023.pdf?arnumber=10244023

Reference69 articles.

1. Convergence of a generalized SMO algorithm for SVM classifier design;Keerthi;Mach. Learn.,2002

2. Nearest neighbor pattern classification

3. Indian Hedgehog: A Mechanotransduction Mediator in Condylar Cartilage

4. On the optimality of the simple Bayesian classifier under zero-one loss;Domingos;Mach. Learn.,1997

5. Induction of decision trees

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural Network Innovations in Image-Based Malware Classification: A Comparative Study;Lecture Notes on Data Engineering and Communications Technologies;2024

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