Convolutional neural network for intrusion detection using blockchain technology
Author:
Affiliation:
1. MARS Research Laboratory LR17ES05, Universite de Sousse, ISITCom, Hammam Sousse, Tunisia
Publisher
Informa UK Limited
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/1206212X.2023.2284443
Reference47 articles.
1. Intrusion detection for cloud computing using neural networks and artificial bee colony optimization algorithm
2. Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing
3. Content-based Image Retrieval of Color, Shape and Texture by Using Novel multi-SVM Classifier
4. A Novel Semi-Supervised Learning Approach for Network Intrusion Detection on Cloud-Based Robotic System
5. Chronological salp swarm algorithm based deep belief network for intrusion detection in cloud using fuzzy entropy
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. Image Forgery Detection using Convolutional Neural Networks and Blockchain Technology;Proceedings of the Cognitive Models and Artificial Intelligence Conference;2024-05-25
2. Federated learning with blockchain-based model aggregation and incentives;International Journal of Computers and Applications;2024-03-20
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