@article{ART003169011},
author={Hyun-Ho Na},
title={Research on AI-based anomaly detection for ship combat system weapon system interlocking control},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={1},
pages={23-32}
TY - JOUR
AU - Hyun-Ho Na
TI - Research on AI-based anomaly detection for ship combat system weapon system interlocking control
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 1
PB - The Korean Society Of Computer And Information
SP - 23
EP - 32
SN - 1598-849X
AB - This paper proposes the use of anomaly detection using LSTM AutoEncoder to verify the possibility of anomaly detection function through AI in the control environment of the interlocking weapon system of a naval combat system.. Performance data such as combat system logs and metric data were collected and time-series preprocessed with the ELK Stack. The LSTM AutoEncoder model, which uses the LSTM network-based Eocder to compress and dimensionally reduce data, and the Decoder to restore the input data to a similar form, was trained using only normal environmental data. Afterwards, the performance was evaluated using test data generated by simulating normal and abnormal situations, and a high score of Accuracy 0.99, Precision 0.97, Recall 0.87, and F1-Score 0.92 was output. This study confirmed the applicability of the model generated through machine learning in the detection of anomalies in the control environment of the interlocking weapon system of a naval combat system.
KW - Artificial Intelligence;Machine Learning;LSTM-Auto Encoder;ELK;Combat Systems
DO -
UR -
ER -
Hyun-Ho Na. (2025). Research on AI-based anomaly detection for ship combat system weapon system interlocking control. Journal of The Korea Society of Computer and Information, 30(1), 23-32.
Hyun-Ho Na. 2025, "Research on AI-based anomaly detection for ship combat system weapon system interlocking control", Journal of The Korea Society of Computer and Information, vol.30, no.1 pp.23-32.
Hyun-Ho Na "Research on AI-based anomaly detection for ship combat system weapon system interlocking control" Journal of The Korea Society of Computer and Information 30.1 pp.23-32 (2025) : 23.
Hyun-Ho Na. Research on AI-based anomaly detection for ship combat system weapon system interlocking control. 2025; 30(1), 23-32.
Hyun-Ho Na. "Research on AI-based anomaly detection for ship combat system weapon system interlocking control" Journal of The Korea Society of Computer and Information 30, no.1 (2025) : 23-32.
Hyun-Ho Na. Research on AI-based anomaly detection for ship combat system weapon system interlocking control. Journal of The Korea Society of Computer and Information, 30(1), 23-32.
Hyun-Ho Na. Research on AI-based anomaly detection for ship combat system weapon system interlocking control. Journal of The Korea Society of Computer and Information. 2025; 30(1) 23-32.
Hyun-Ho Na. Research on AI-based anomaly detection for ship combat system weapon system interlocking control. 2025; 30(1), 23-32.
Hyun-Ho Na. "Research on AI-based anomaly detection for ship combat system weapon system interlocking control" Journal of The Korea Society of Computer and Information 30, no.1 (2025) : 23-32.
