Código QR

Interpretable intrusion detection for IoT environments using a self-attention-based explainable AI framework

Abstract The rapid growth of Internet of Things (IoT) devices has introduced critical cybersecurity challenges due to the large attack surface and diverse interconnected systems. This work proposes a novel self-attention deep neural network (SA-DNN) augmented with a learnable feature gating (LFG) me...

ver descrição completa

Na minha lista:
Principais autores: Kanta Prasad Sharma, Tapsi Nagpal, Tarak Vora, Anupam Yadav, Muhammad Irsyad Abdullah, B. Jayaprakash, Aditya Kashyap, G. Sridevi, A. Bhowmik, Bethelehem Burju Bukate
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2025-11-01
Colecção:Scientific Reports
Assuntos:
Self-attention mechanism
Deep neural networks
Explainable artificial intelligence
Internet of things
IoT intrusion detection
Network security
Acesso em linha:https://doi.org/10.1038/s41598-025-23750-0
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados