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[HTML][HTML] Deep learning for cyber threat detection in IoT networks: A review
Abstract The Internet of Things (IoT) has revolutionized modern tech with interconnected
smart devices. While these innovations offer unprecedented opportunities, they also …
smart devices. While these innovations offer unprecedented opportunities, they also …
A novel methodology for malicious traffic detection in smart devices using BI-LSTM–CNN-dependent deep learning methodology
T Anitha, S Aanjankumar, S Poonkuntran… - Neural Computing and …, 2023 - Springer
This paper aims to propose a new technique for identifying and categorizing malevolent
Internet traffic within the context of security for smart devices. Given the rising usage of smart …
Internet traffic within the context of security for smart devices. Given the rising usage of smart …
A hybrid spider monkey and hierarchical particle swarm optimization approach for intrusion detection on Internet of Things
S Ethala, A Kumarappan - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) network integrates physical objects such as sensors, networks,
and electronics with software to collect and exchange data. Physical objects with a unique IP …
and electronics with software to collect and exchange data. Physical objects with a unique IP …
VBQ-Net: a novel vectorization-based boost quantized network model for maximizing the security level of IoT system to prevent intrusions
Data sharing with additional devices across wireless networks is made simple and
advantageous by the Internet of Things (IoT), an emerging technology. However, IoT …
advantageous by the Internet of Things (IoT), an emerging technology. However, IoT …
ABCNN-IDS: attention-based convolutional neural network for intrusion detection in IoT networks
This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion
detection in the Internet of Things (IoT). The proposed ABCNN employs an attention …
detection in the Internet of Things (IoT). The proposed ABCNN employs an attention …
[PDF][PDF] Evaluated bird swarm optimization based on deep belief network (EBSO-DBN) classification technique for IOT network intrusion detection
A Biju, S Wilfred Franklin - Automatika: časopis za automatiku …, 2024 - hrcak.srce.hr
Because of the recent development of various intrusion detection systems (IDS), which
defend computer networks from security as well as privacy threats. The confidentiality …
defend computer networks from security as well as privacy threats. The confidentiality …
Recent task scheduling-based heuristic and meta-heuristics methods in cloud computing: A review
With the availability of maximum bandwidth INTERNET connectivity, CC (cloud computing)
applications have been explored in the current years. The demand for highly effective JS …
applications have been explored in the current years. The demand for highly effective JS …
Efficient, lightweight cyber intrusion detection system for IoT ecosystems using mi2g algorithm
The increase in internet connectivity has led to an increased usage of the Internet of Things
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …
Designing a modified feature aggregation model with hybrid sampling techniques for network intrusion detection
NS Biyyapu, EJ Veerapaneni, PP Surapaneni… - Cluster …, 2024 - Springer
Cyber defense solutions that can adapt to new threats and learn to act independently of
human guidance are necessary in light of the proliferation of so-called'next-generation' …
human guidance are necessary in light of the proliferation of so-called'next-generation' …
Performance metrics of an intrusion detection system through Window-Based Deep Learning models
F Isiaka - Journal of Data Science and Intelligent Systems, 2024 - ojs.bonviewpress.com
Intrusion and prevention technologies perform reliably in harsh conditions by fortifying many
of the world's highest security sites with few defects in high performance. This paper aims to …
of the world's highest security sites with few defects in high performance. This paper aims to …