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Energy consumption of on-device machine learning models for IoT intrusion detection.

, , , , и . Internet Things, (апреля 2023)

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Cagri Üzüm

Meral Güngör

Sinan Güngör

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AR-TP: An Adaptive and Responsive Transport Protocol for Wireless Mesh Networks., , и . ICC, стр. 3740-3745. IEEE, (2007)A survey on information security threats and solutions for Machine to Machine (M2M) communications., , , , , и . J. Parallel Distributed Comput., (2017)OFFER Referees Suggester for the Journal Editors., , , и . ISCC, стр. 1-6. IEEE, (2019)PI-controlled ANN-based Energy Consumption Forecasting for Smart Grids., , , , и . ICINCO (1), стр. 110-116. SciTePress, (2015)Lifetime Analysis of Error Control Schemes on Wireless Sensor Networks in Industrial Environments., и . SIU, стр. 1-4. IEEE, (2019)Network intrusion detection based on machine learning strategies: performance comparisons on imbalanced wired, wireless, and software-defined networking (SDN) network traffics., , и . Turkish J. Electr. Eng. Comput. Sci., 32 (4): 623-640 (2024)Performance of MAC protocols for wireless sensor networks in harsh smart Grid environment., , и . BlackSeaCom, стр. 50-53. IEEE, (2013)A Cross-Layer QoS-Aware Communication Framework in Cognitive Radio Sensor Networks for Smart Grid Applications., , и . IEEE Trans. Ind. Informatics, 9 (3): 1477-1485 (2013)Exploration Strategy Related Design Considerations of WSN-Aided Mobile Robot Exploration Teams., , , и . ICIC (2), том 6839 из Lecture Notes in Computer Science, стр. 533-540. Springer, (2011)Power line communication technologies for smart grid applications: A review of advances and challenges., , , , и . Comput. Networks, (2014)