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Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection
Research article (IEEE Access, 2025) · cited 18× · AI/ML
Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection
Summary
Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection is a scholarly article[1].
Key Facts
Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/temporal-spatial-feature-extraction-in-iot-based-scada-system-security-hybrid-cnn-lstm-and-attention-based-architectures
MLA“Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/temporal-spatial-feature-extraction-in-iot-based-scada-system-security-hybrid-cnn-lstm-and-attention-based-architectures.
BibTeX@misc{4ortxyz_temporal-spatial-feature-extraction-in-iot-based-scada-system-security-hybrid-cnn-lstm-and-attention-based-architectures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection}}, year = {2026}, url = {https://4ort.xyz/entity/temporal-spatial-feature-extraction-in-iot-based-scada-system-security-hybrid-cnn-lstm-and-attention-based-architectures}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection — https://4ort.xyz/entity/temporal-spatial-feature-extraction-in-iot-based-scada-system-security-hybrid-cnn-lstm-and-attention-based-architectures (retrieved 2026-05-24)