Transformer-based Sentiment Analysis for Anomaly Detection on Drone Forensic Timeline
Author:
Affiliation:
1. Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia
Funder
Institut Teknologi Sepuluh Nopember
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10131120/10131673/10131749.pdf?arnumber=10131749
Reference27 articles.
1. A Unifying Review of Deep and Shallow Anomaly Detection
2. Deep Learning for Anomaly Detection
3. Anomaly detection in a forensic timeline with deep autoencoders
4. A Survey of Deep Anomaly Detection for System Logs
5. Machine Learning for Anomaly Detection: A Systematic Review
Cited by 3 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. An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12
2. Severity-Oriented Multiclass Drone Flight Logs Anomaly Detection;IEEE Access;2024
3. Drone Flight Log Anomaly Severity Classification via Sentence Embedding;2023 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD);2023-11-13
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