ResNeXt+: Attention Mechanisms Based on ResNeXt for Malware Detection and Classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

ResNeXt+: Attention Mechanisms Based on ResNeXt for Malware Detection and Classification

Published:2024 Issue: Volume:19 Page:1142-1155
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

He Yuewang¹^ORCID,Kang Xiangui¹^ORCID,Yan Qiben²^ORCID,Li Enping³^ORCID

Affiliation:

1. Guangdong Key Laboratory of Information Security Technology, School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

2. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA

3. Department of Computer Science, Bridgewater State University, Bridgewater, MA, USA

Funder

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10299708.pdf?arnumber=10299708

Reference63 articles.

1. Growing Grapes in Your Computer to Defend Against Malware

2. Detection of Malicious Code Variants Based on Deep Learning

3. DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling

4. Robust Intelligent Malware Detection Using Deep Learning

5. Malware Classification with Deep Convolutional Neural Networks

Cited by 3 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. DPMSLM Eccentricity Fault Detection Based on Multiview of Mystery Curve Transformation and Deep Feature Extraction;IEEE Sensors Journal;2024-06-01

2. Deep learning-powered malware detection in cyberspace: a contemporary review;Frontiers in Physics;2024-03-28

3. Employing combined spatial and frequency domain image features for machine learning-based malware detection;Electronic Research Archive;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3