Hybrid Deep Learning with Active Period Segmentation and Weighted Voting Ensemble for Intrusion Detection in IoT

Chitty Avula; Sathyanarayana Bachala

doi:10.1109/satc65530.2025.11137235

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Hybrid Deep Learning with Active Period Segmentation and Weighted Voting Ensemble for Intrusion Detection in IoT

Chitty Avula Sathyanarayana Bachala

Year: 2025 Pages: 1-7

DOI: 10.1109/satc65530.2025.11137235

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Keywords:

Computer science Intrusion detection system Artificial intelligence Voting Period (music) Segmentation Ensemble learning Intrusion Machine learning Pattern recognition (psychology) Geology

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Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Hybrid Deep Learning with Active Period Segmentation and Weighted Voting Ensemble for Intrusion Detection in IoT

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