A Novel Approach for Real-Time Server-Based Attack Detection Using Meta-Learning-Reference-Cited by-同舟云学术

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A Novel Approach for Real-Time Server-Based Attack Detection Using Meta-Learning

Published:2024 Issue: Volume:12 Page:39614-39627
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rustam Furqan¹^ORCID,Raza Ali²^ORCID,Qasim Muhammad²^ORCID,Posa Sarath Kumar³^ORCID,Jurcut Anca Delia¹^ORCID

Affiliation:

1. School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland

2. Department of Software Engineering, University Of Lahore, Lahore, Pakistan

3. Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR, USA

Funder

University College Dublin, Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10466560.pdf?arnumber=10466560

Reference51 articles.

1. Insights of energy and its trade networking impacts on sustainable economic development

2. Deep Ensemble-based Efficient Framework for Network Attack Detection

3. Role of cloud computing in management and education

4. A Survey of Network Attacks on Cyber-Physical Systems

5. A comprehensive study of DDoS attacks over IoT network and their countermeasures

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. In-Vehicle Networks Security Using Transfer Learning Approach Against AI-Generated Cyberattacks;2024 35th Irish Signals and Systems Conference (ISSC);2024-06-13

2. Product Helpfulness Detection With Novel Transformer Based BERT Embedding and Class Probability Features;IEEE Access;2024

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