Výsledky vyhledávání - "Dusmurod Kilichev"

Akademický článek

An application for solving minimization problems using the Harmony search algorithm

Autor: Fazliddin Makhmudov, Dusmurod Kilichev, Young Im Cho

Publikováno v: SoftwareX, Vol 27, Iss , Pp 101783- (2024)

The Harmony Search (HS) algorithm, inspired by the improvisational process of musicians, offers a novel and effective approach to optimization problems. This paper presents an application designed to solve a wide range of minimization problems using

Externí odkaz: https://doaj.org/article/6d10eebf9c3b4ee4b6ff9701e25c56c6

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Akademický článek

Optimizing Smart Home Intrusion Detection With Harmony-Enhanced Extra Trees

Autor: Akmalbek Abdusalomov, Dusmurod Kilichev, Rashid Nasimov, Ilkhom Rakhmatullayev, Young Im Cho

Publikováno v: IEEE Access, Vol 12, Pp 117761-117786 (2024)

In this study, we present an innovative network intrusion detection system (IDS) tailored for Internet of Things (IoT)-based smart home environments, offering a novel deployment scheme that addresses the full spectrum of network security challenges.

Externí odkaz: https://doaj.org/article/8639dd3563c44611bee0b654b7a56e85

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Akademický článek

Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models

Autor: Dusmurod Kilichev, Dilmurod Turimov, Wooseong Kim

Publikováno v: Mathematics, Vol 12, Iss 4, p 571 (2024)

In the evolving landscape of Internet of Things (IoT) and Industrial IoT (IIoT) security, novel and efficient intrusion detection systems (IDSs) are paramount. In this article, we present a groundbreaking approach to intrusion detection for IoT-based

Externí odkaz: https://doaj.org/article/6a847da0a45443ad8529efa46ad8436f

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Akademický článek

Hyperparameter Optimization for 1D-CNN-Based Network Intrusion Detection Using GA and PSO

Autor: Dusmurod Kilichev, Wooseong Kim

Publikováno v: Mathematics, Vol 11, Iss 17, p 3724 (2023)

This study presents a comprehensive exploration of the hyperparameter optimization in one-dimensional (1D) convolutional neural networks (CNNs) for network intrusion detection. The increasing frequency and complexity of cyberattacks have prompted an

Externí odkaz: https://doaj.org/article/99be2750306d42a68a7a3d9bbf68dfbc

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