A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT-Reference-Cited by-同舟云学术

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A Multilayer Deep Learning Approach for Malware Classification in 5G-Enabled IIoT

Published:2023-02 Issue:2 Volume:19 Page:1495-1503
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Ahmed Imran¹^ORCID,Anisetti Marco²^ORCID,Ahmad Awais³^ORCID,Jeon Gwanggil⁴^ORCID

Affiliation:

1. School of Computing and Information Science, Anglia Ruskin University Cambridge, Cambridge, U.K.

2. Department of Computer Science, Universitá degli Studi di Milano, Milano, Italy

3. Faculty of Computing and Artificial Intelligence, Air University, Islamabad, Pakistan

4. Department of Embedded Systems Engineering, Incheon National University, Incheon, Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/9989328/09882315.pdf?arnumber=9882315

Reference31 articles.

1. Malware images

2. Detection of Malicious Code Variants Based on Deep Learning

3. IIoT Based Multimodal Communication Model for Agriculture and Agro-Industries

4. Trustworthy IoT: An evidence collection approach based on smart contracts;ardagna;Proc IEEE SCC,0

5. A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT

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1. Evolving malware detection through instant dynamic graph inverse reinforcement learning;Knowledge-Based Systems;2024-09

2. Enhanced Fault Diagnosis in IoT: Uniting Data Fusion with Deep Multi-Scale Fusion Neural Network;Internet of Things;2024-09

3. A Paradigm Shift for Modeling and Operation of Oil and Gas: From Industry 4.0 in CPS to Industry 5.0 in CPSS;IEEE Transactions on Industrial Informatics;2024-07

4. Enhancing 5G Security Using Hybrid Learning Approach for Malware Detection and Classification;Advances in Information Security, Privacy, and Ethics;2024-06-28

5. Securing Edge Devices: Malware Classification with Dual-Attention Deep Network;Applied Sciences;2024-05-28

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