基于机器学习的物联网入侵检测系统综述.

王振东, 张林, 李大海 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
物联网技术的广泛应用在给人们带来便利的同时也造成诸多安全问题, 亟需建立完整且稳定的
系统来确保物联网的安全, 使得物联网对象间能够安全有效地通信, 而入侵检测系统成为保护物 …

Short-Term Heavy Overload Forecasting of Public Transformers Based on Combined LSTM-XGBoost Model

H Ma, P Yang, F Wang, X Wang, D Yang, B Feng - Energies, 2023 - mdpi.com
In order to effectively carry out the heavy overload monitoring and maintenance of public
transformers in the distribution network, ensure the reliability of the distribution network …

Deep logarithmic neural network for Internet intrusion detection

Z Wang, Z Xu, D He, S Chan - Soft Computing, 2021 - Springer
Intrusion detection is an important means to deal with network attacks. The traditional neural
network needs to preprocess the sample data in intrusion detection, which may cause the …

Cloud computing security and deep learning: An ANN approach

L Hasimi, D Zavantis, E Shakshuki, A Yasar - Procedia Computer Science, 2024 - Elsevier
Deep learning techniques have shown significant impact in enhancing security across
various domains by leveraging artificial neural networks models. When applied to cloud …

Performance Evaluation of Intrusion Detection System Using Machine Learning and Deep Learning Algorithms

MS Hossain, D Ghose, AM Partho… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Now that Internet access is so widely used, our society has a greater number of networked
technologies. Data travels between them because of their daily activities. Due to the server's …

A Hybrid DNN-RBFNN model for intrusion detection system

WM Oboya, AW Gichuhi… - Journal of Data …, 2023 - classical.goforpromo.com
Intrusion Detection Systems (IDS) are pivotal in safeguarding computer networks from
malicious activities. This study presents a novel approach by proposing a Hybrid Dense …

无线通信网络中流量分析技术综述.

程定国, 曾浩洋 - Telecommunication Engineering, 2023 - search.ebscohost.com
对无线网络流量的分析和准确预测是无线网络管理与安全领域的重要研究内容之一,
在网络规划, 网络监控, 流量趋势分析, 网络优化以及入侵检测和异常检测等方面发挥着重要作用 …

Optimal fused feature selection with ensemble learning foratrial fibrillation detection using ECG with enhanced average and subtraction-based optimizer

SK Dhara, N Bhanja… - Intelligent Decision …, 2023 - content.iospress.com
Most common asymptomatic arrhythmia that significantly leads to death and morbidity is
Atrial Fibrillation (AF). It has the ability to extract valuable features is necessary for AF …

Performance Evaluation of Covolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for Intrusion Detection

NA Azeez, II Osamagbe… - Covenant …, 2024 - journals.covenantuniversity.edu.ng
In the context of cybersecurity, effective intrusion detection plays a crucial role in
safeguarding computer networks and systems from malicious activities. The motivation for …

[PDF][PDF] Intrusion detection method of Internet of Things based on Multi GBDT feature dimensionality reduction and hierarchical traffic detection

T Pan - JQ Comput, 2021 - cdn.techscience.cn
The rapid development of Internet of Things (IoT) technology has brought great convenience
to people's life. However, the security protection capability of IoT is weak and vulnerable …