RoboMal: Malware Detection for Robot Network Systems-Reference-Cited by-同舟云学术

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RoboMal: Malware Detection for Robot Network Systems

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 Fifth IEEE International Conference on Robotic Computing (IRC)
language:
Short-container-title:

Author:

Kaur Upinder¹,Zhou Haozhe²,Shen Xiaxin³,Min Byung-Cheol³,Voyles Richard M.¹

Affiliation:

1. Purdue University,School of Engineering Technology,West Lafayette,IN 47907,USA

2. Purdue University,Department of Computer Science,West Lafayette,IN 47907,USA

3. Purdue University,Department of Computer and Information Technology,West Lafayette,IN 47907,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9699859/9699882/09699885.pdf?arnumber=9699885

Reference37 articles.

1. A hybrid deep learning image-based analysis for effective malware detection

2. Use of Data Visualisation for Zero-Day Malware Detection

3. Malware images

4. Robust Intelligent Malware Detection Using Deep Learning

5. Text classification improved by integrating bidirectional lstm with two-dimensional max pooling;zhou,2016

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. RoboGuard: Enhancing Robotic System Security with Ensemble Learning;The International Arab Journal of Information Technology;2023

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