Deep Learning for Detecting Ransomware in Edge Computing Devices Based On Autoencoder Classifier-Reference-Cited by-同舟云学术

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Deep Learning for Detecting Ransomware in Edge Computing Devices Based On Autoencoder Classifier

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT)
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Author:

AbdulsalamYa'u Gital,Job Goteng Kuwunidi,Waziri Saleh Mustapha,Jaafar Badamasi,SabonGari Nahuru Ado,Yakubu Ismail Zahraddeen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9109369/9114536/09114576.pdf?arnumber=9114576

Cited by 6 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. Enhancing Cybersecurity against Ransomware Attacks Using LSTM Deep Learning Method: A Case Study on Android Devices;Journal of Polytechnic;2024-08-09

2. Ransomware early detection: A survey;Computer Networks;2024-02

3. Proactive Ransomware Detection Using Extremely Fast Decision Tree (EFDT) Algorithm: A Case Study;Computers;2023-06-15

4. A State-of-the-Art Survey on Ransomware Detection using Machine Learning and Deep Learning;Modern Artificial Intelligence and Data Science;2023

5. An Evaluation of Autoencoder Neural Network Role in Iot Edge Computing;Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi;2022-05-18

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