Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment

Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment

Malware detection in Internet of Things (IoT) cloud platforms is a crucial security system for securing data and devices' integrity, secrecy, and availability. IoT devices are linked to cloud-based services offering storage, calculating, and analytics abilities. However, these devices are also...

Full description

Saved in:
Bibliographic Details
Main Authors: Moneerah Alotaibi, Ghadah Aldehim, Mashael Maashi, Mashael M. Asiri, Faheed A.F. Alrslani, Sultan Refa Alotaibi, Ayman Yafoz, Raed Alsini
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Alexandria Engineering Journal
Subjects:
Malware detection
Cloud environment
Internet of Things
Chaos game optimizer
Deep learning
Security
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824012675
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S1110016824012675

Similar Items