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Cyber risk and cybersecurity: a systematic review of data availability
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …
indicating an increase of more than 50% since 2018. With the average cyber insurance …
Internet of things (IoT) security dataset evolution: Challenges and future directions
The evolution of mobile technologies has introduced smarter and more connected objects
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
into our day-to-day lives. This trend, known as the Internet of Things (IoT), has applications …
CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment
Nowadays, the Internet of Things (IoT) concept plays a pivotal role in society and brings new
capabilities to different industries. The number of IoT solutions in areas such as …
capabilities to different industries. The number of IoT solutions in areas such as …
Edge-IIoTset: A new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning
In this paper, we propose a new comprehensive realistic cyber security dataset of IoT and
IIoT applications, called Edge-IIoTset, which can be used by machine learning-based …
IIoT applications, called Edge-IIoTset, which can be used by machine learning-based …
FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things
In this paper, we propose a federated learning-based intrusion detection system, named
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
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
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 …
A comprehensive review of the state-of-the-art on security and privacy issues in healthcare
Currently, healthcare is critical environment in our society, which attracts attention to
malicious activities and has caused an important number of damaging attacks. In parallel …
malicious activities and has caused an important number of damaging attacks. In parallel …
[HTML][HTML] Intrusion detection in healthcare 4.0 internet of things systems via metaheuristics optimized machine learning
Rapid developments in Internet of Things (IoT) systems have led to a wide integration of
such systems into everyday life. Systems for active real-time monitoring are especially useful …
such systems into everyday life. Systems for active real-time monitoring are especially useful …