Malware Detection Using Machine Learning on Edge Devices-Reference-Cited by-同舟云学术

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Malware Detection Using Machine Learning on Edge Devices

Published:2022-06-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computing, Communication, Security and Intelligent Systems (IC3SIS)
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Author:

Parmar Shetanshu¹,Mala C.¹

Affiliation:

1. National Institute of Technology,Computer Science and Engineering Department,Tiruchirappalli,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9885260/9885243/09885555.pdf?arnumber=9885555

Reference30 articles.

1. Graph Neural Network-based Android Malware Classification with Jumping Knowledge;lo;arXiv e-prints (2022) arXiv-2201,0

2. pAElla: Edge AI-Based Real-Time Malware Detection in Data Centers

3. On-Device Detection of Repackaged Android Malware via Traffic Clustering

4. Fuzzy pattern tree for edge malware detection and categorization in IoT

5. IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

Cited by 2 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. A New Android Malware Detection Approach Using Multilayer Stacking;2024 10th International Conference on Web Research (ICWR);2024-04-24

2. Systematic Approach to Analyze The Avast IOT-23 Challenge Dataset For Malware Detection Using Machine Learning;2023 18th International Conference on Emerging Technologies (ICET);2023-11-06

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