[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …
healthcare and transportation to home automation and industrial control systems. However …
[HTML][HTML] Internet of Things botnet detection approaches: Analysis and recommendations for future research
M Wazzan, D Algazzawi, O Bamasaq, A Albeshri… - Applied Sciences, 2021 - mdpi.com
Internet of Things (IoT) is promising technology that brings tremendous benefits if used
optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the …
optimally. At the same time, it has resulted in an increase in cybersecurity risks due to the …
Federated deep learning for zero-day botnet attack detection in IoT-edge devices
Deep learning (DL) has been widely proposed for botnet attack detection in Internet of
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Protocol-based deep intrusion detection for dos and ddos attacks using unsw-nb15 and bot-iot data-sets
Since its inception, the Internet of Things (IoT) has witnessed mushroom growth as a
breakthrough technology. In a nutshell, IoT is the integration of devices and data such that …
breakthrough technology. In a nutshell, IoT is the integration of devices and data such that …
[PDF][PDF] DNNBoT: Deep neural network-based botnet detection and classification.
MA Haq, MA Rahim Khan - Computers, Materials & Continua, 2022 - cdn.techscience.cn
The evolution and expansion of IoT devices reduced human efforts, increased resource
utilization, and saved time; however, IoT devices create significant challenges such as lack …
utilization, and saved time; however, IoT devices create significant challenges such as lack …
[HTML][HTML] IoT botnet anomaly detection using unsupervised deep learning
The Internet of Things has become a cutting-edge technology that is continuously evolving
in size, connectivity, and applicability. This ecosystem makes its presence felt in every …
in size, connectivity, and applicability. This ecosystem makes its presence felt in every …
[HTML][HTML] DBoTPM: A deep neural network-based botnet prediction model
MA Haq - Electronics, 2023 - mdpi.com
Internet of things (IoT) devices' evolution and growth have boosted system efficiency,
reduced human labour, and improved operational efficiency; however, IoT devices pose …
reduced human labour, and improved operational efficiency; however, IoT devices pose …
[HTML][HTML] A hierarchical deep learning-based intrusion detection architecture for clustered internet of things
The Internet of Things (IoT) system's ever-expanding attack surface calls for a new intrusion
detection system (IDS). These systems may include thousands of wireless devices that need …
detection system (IDS). These systems may include thousands of wireless devices that need …
[HTML][HTML] Unmasking cybercrime with artificial-intelligence-driven cybersecurity analytics
Cybercriminals are becoming increasingly intelligent and aggressive, making them more
adept at covering their tracks, and the global epidemic of cybercrime necessitates significant …
adept at covering their tracks, and the global epidemic of cybercrime necessitates significant …
[HTML][HTML] An aggregated mutual information based feature selection with machine learning methods for enhancing IoT botnet attack detection
Due to the wide availability and usage of connected devices in Internet of Things (IoT)
networks, the number of attacks on these networks is continually increasing. A particularly …
networks, the number of attacks on these networks is continually increasing. A particularly …