HCL-Classifier: CNN and LSTM based hybrid malware classifier for Internet of Things (IoT)-Reference-Cited by-同舟云学术

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HCL-Classifier: CNN and LSTM based hybrid malware classifier for Internet of Things (IoT)

Published:2023-05 Issue: Volume:142 Page:41-58
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Abdullah Muhammed Amin,Yu Yongbin^ORCID,Adu Kwabena,Imrana Yakubu,Wang Xiangxiang,Cai Jingye

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Sichuan Province Science and Technology Support Program

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference40 articles.

1. Governing Cyberspace During A Crisis in Trust Essay;Shull,2019

2. Evolution of IoT in smart vehicles: An overview;Keertikumar,2015

3. Internet of things: Survey on security and privacy;Mendez,2017

4. Internet of things: Survey on security;Mendez Mena;Inf. Secur. J. A Glob. Perspect.,2018

5. The internet of things: A survey;Atzori;Comput. Netw.,2010

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1. Classification of malware for security improvement in IoT using heuristic aided adaptive multi-scale and dilated ResneXt with gated recurrent unit;Applied Soft Computing;2024-09

2. A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem;Ain Shams Engineering Journal;2024-07

3. Deep learning hybridization for improved malware detection in smart Internet of Things;Scientific Reports;2024-04-03

4. Enhanced slime mould optimization with convolutional BLSTM autoencoder based malware classification in intelligent systems;Expert Systems;2024-02-04

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