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[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 …
A survey on addressing iot security issues by embedding blockchain technology solutions: Review, attacks, current trends, and applications
NTY Huan, ZA Zukarnain - IEEE Access, 2024 - ieeexplore.ieee.org
By 2025, the Internet of Things (IoT) infrastructure is projected to encompass over 75 billion
devices, facilitated by the increasing proliferation of intelligent applications. The IoT …
devices, facilitated by the increasing proliferation of intelligent applications. The IoT …
A framework for malicious traffic detection in IoT healthcare environment
The Internet of things (IoT) has emerged as a topic of intense interest among the research
and industrial community as it has had a revolutionary impact on human life. The rapid …
and industrial community as it has had a revolutionary impact on human life. The rapid …
A tree classifier based network intrusion detection model for Internet of Medical Things
Healthcare is one of the key areas of prospect for the Internet of Things (IoT). To facilitate
better medical services, enormous growth in the field of the Internet of Medical Things (IoMT) …
better medical services, enormous growth in the field of the Internet of Medical Things (IoMT) …
A two-fold machine learning approach to prevent and detect IoT botnet attacks
The botnet attack is a multi-stage and the most prevalent cyber-attack in the Internet of
Things (IoT) environment that initiates with scanning activity and ends at the distributed …
Things (IoT) environment that initiates with scanning activity and ends at the distributed …
Generative deep learning to detect cyberattacks for the IoT-23 dataset
N Abdalgawad, A Sajun, Y Kaddoura… - IEEE …, 2021 - ieeexplore.ieee.org
The rapid growth of Internet of Things (IoT) is expected to add billions of IoT devices
connected to the Internet. These devices represent a vast attack surface for cyberattacks. For …
connected to the Internet. These devices represent a vast attack surface for cyberattacks. For …
[HTML][HTML] Forensic analysis on internet of things (IoT) device using machine-to-machine (M2M) framework
The versatility of IoT devices increases the probability of continuous attacks on them. The
low processing power and low memory of IoT devices have made it difficult for security …
low processing power and low memory of IoT devices have made it difficult for security …
Hybrid machine learning model for efficient botnet attack detection in iot environment
Cyber attacks are growing with the rapid development and wide use of internet technology.
Botnet attack emerged as one of the most harmful attacks. Botnet identification is becoming …
Botnet attack emerged as one of the most harmful attacks. Botnet identification is becoming …
[HTML][HTML] Preventing mqtt vulnerabilities using iot-enabled intrusion detection system
The advancement in the domain of IoT accelerated the development of new communication
technologies such as the Message Queuing Telemetry Transport (MQTT) protocol. Although …
technologies such as the Message Queuing Telemetry Transport (MQTT) protocol. Although …
Detection of mirai botnet attacks on iot devices using deep learning
A Sharma, V Mansotra, K Singh - Journal of Scientific Research and …, 2023 - jsrtjournal.com
Abstract The Internet of Things is a staple in the workplace, especially in the fields of office
automation (OA) and operational technology (OT). As a consequence, businesses may set …
automation (OA) and operational technology (OT). As a consequence, businesses may set …