Oct 13, 2021 · This paper devises a novel method, namely the Water Moth Search algorithm (WMSA) algorithm, for training Deep Recurrent Neural Network (Deep RNN) ...
This paper devises a novel method, namely the Water Moth Search algorithm (WMSA) algorithm, for training Deep Recurrent Neural Network (Deep RNN) to detect ...
This paper devises a novel method, namely the Water Moth Search algorithm (WMSA) algorithm, for training Deep Recurrent Neural Network (Deep RNN) to detect ...
Water Moth Search Algorithm-based Deep Training for Intrusion Detection in IoT. Journal of Web Engineering. 20, 6 (Oct. 2021), 1781–1812. DOI:https://doi ...
Apr 25, 2024 · P. M. Rekha, Nagamani H. Shahapure, Punitha M., P. R. Sudha : Water Moth Search Algorithm-based Deep Training for Intrusion Detection in IoT ...
The experimental results show that the improved intrusion detection model combined with DBN can effectively improve the recognition rate of intrusion ...
Jun 2, 2022 · This study proposes a novel framework to improve intrusion detection system (IDS) performance based on the data collected from the Internet of things (IoT) ...
Feb 3, 2023 · This paper presents a novel Deep Learning (DL)-based intrusion detection system for IoT devices. This intelligent system uses a four-layer deep Fully Connected ...
Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the most representative characteristics of moths, Lévy flights and ...
Therefore, the study presents a Moth Search Optimization with DL-based Intrusion Detection (MSODL-ID) method in the WSN. The MSODL-ID technique aims to ...
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