A survey of public IoT datasets for network security research
F De Keersmaeker, Y Cao… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Publicly available datasets are an indispensable tool for researchers, as they allow testing
new algorithms on a wide range of different scenarios and making scientific experiments …
new algorithms on a wide range of different scenarios and making scientific experiments …
Securing the IoT Application Layer from an MQTT Protocol Perspective: Challenges and Research Prospects
S Lakshminarayana, A Praseed… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the most promising new millennial technologies, having
numerous applications in our surrounding environment. The fundamental goal of an IoT …
numerous applications in our surrounding environment. The fundamental goal of an IoT …
Design and development of RNN anomaly detection model for IoT networks
I Ullah, QH Mahmoud - IEEE Access, 2022 - ieeexplore.ieee.org
Cybersecurity is important today because of the increasing growth of the Internet of Things
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
(IoT), which has resulted in a variety of attacks on computer systems and networks. Cyber …
MQTTset, a new dataset for machine learning techniques on MQTT
IoT networks are increasingly popular nowadays to monitor critical environments of different
nature, significantly increasing the amount of data exchanged. Due to the huge number of …
nature, significantly increasing the amount of data exchanged. Due to the huge number of …
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 privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning
M Al-Hawawreh, MS Hossain - Information Fusion, 2023 - Elsevier
Abstract Internet of Medical Things (IoMT) devices and systems are often designed without
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …
IoT DoS and DDoS attack detection using ResNet
The network attacks are increasing both in frequency and intensity with the rapid growth of
internet of things (IoT) devices. Recently, denial of service (DoS) and distributed denial of …
internet of things (IoT) devices. Recently, denial of service (DoS) and distributed denial of …
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 …
[HTML][HTML] Res-TranBiLSTM: An intelligent approach for intrusion detection in the Internet of Things
S Wang, W Xu, Y Liu - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT), as the information carrier of the Internet and
telecommunications networks, is a new network technology comprising physical entities …
telecommunications networks, is a new network technology comprising physical entities …
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 …