An efficient self attention-based 1D-CNN-LSTM network for IoT attack detection and identification using network traffic

In the last ten years, the IoT has played a crucial role in society's digital transformation. However, because of the wide range of devices it encompasses, it is also facing increased security vulnerabilities. This research presents a novel mechanism called the self-attention-based 1D-CNN-LSTM, whic...

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Ngā kaituhi matua:	Tinshu Sasi, Arash Habibi Lashkari, Rongxing Lu, Pulei Xiong, Shahrear Iqbal
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	KeAi Communications Co., Ltd. 2025-09-01
Rangatū:	Journal of Information and Intelligence
Ngā marau:	IoT attacks Machine learning Artificial intelligence IoT attack detection
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S2949715924000763
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

An efficient self attention-based 1D-CNN-LSTM network for IoT attack detection and identification using network traffic

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