A carregar...
Publicação
BiLSTM-Attention Seeking Intrusion Detection System for SWIPT-Enabled IoT Systems
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.08 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Integration of simultaneous wireless information and power transfer (SWIPT) into Internet of Things (IoT) network require unique security requirements. These systems operate in energy-constrained environments, where traditional intrusion detection systems (IDS) are mostly unable to perform as expected. In SWIPT-systems, information transmission as well as energy harvesting and allocation systems are vulnerable to attacks, thereby requiring more sophisticated security systems to support continued operation. The study proposes an unsupervised BiLSTM attention autoencoder-based IDS model designed specifically for SWIPT-enabled IoT systems operating with a sequence-to-sequence framework.
Descrição
Publisher Copyright: © 2025 Copyright held by the owner/author(s).
Palavras-chave
BiLSTM Intrusion detection systems IoT SWIPT Unsupervised learning Computer Networks and Communications Information Systems Artificial Intelligence Hardware and Architecture
Contexto Educativo
Citação
Editora
ACM - Association for Computing Machinery