An Attack Detection Framework Based on BERT and Deep Learning

Author:

Seyyar Yunus Emre1ORCID,Yavuz Ali Gokhan2,Unver Halil Murat1

Affiliation:

1. Department of Computer Engineering, Graduate School of Natural and Applied Sciences, Kırıkkale University, Kırıkkale, Turkey

2. Department of Computer Engineering, Graduate School of Natural and Applied Sciences, Turkish-German University, Istanbul, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 20 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. Genetic fuzzy rules and hybrid QDCNN-F-DSAE for detecting attacker behavior with tuning of firewall;Australian Journal of Electrical and Electronics Engineering;2024-07-18

2. Beyond Detection: Leveraging Large Language Models for Cyber Attack Prediction in IoT Networks;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

3. Integrating Merkle Trees with Transformer Networks for Secure Financial Computation;Applied Sciences;2024-02-08

4. Methods for Detecting XSS Attacks Based on BERT and BiLSTM;2024 8th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS);2024-01-12

5. On-Device Smishing Classifier Resistant to Text Evasion Attack;IEEE Access;2024

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