Cyber risk and cybersecurity: a systematic review of data availability

F Cremer, B Sheehan, M Fortmann… - The Geneva papers …, 2022 - pmc.ncbi.nlm.nih.gov
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 …

Internet of things (IoT) security dataset evolution: Challenges and future directions

B Kaur, S Dadkhah, F Shoeleh, ECP Neto, P **ong… - Internet of Things, 2023 - Elsevier
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 …

CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment

ECP Neto, S Dadkhah, R Ferreira, A Zohourian, R Lu… - Sensors, 2023 - mdpi.com
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 …

Edge-IIoTset: A new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning

MA Ferrag, O Friha, D Hamouda, L Maglaras… - IEEe …, 2022 - ieeexplore.ieee.org
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 …

FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things

O Friha, MA Ferrag, L Shu, L Maglaras… - Journal of Parallel and …, 2022 - Elsevier
In this paper, we propose a federated learning-based intrusion detection system, named
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

MA Ferrag, O Friha, L Maglaras, H Janicke… - IEEe Access, 2021 - ieeexplore.ieee.org
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 …

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 …

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 …

A comprehensive review of the state-of-the-art on security and privacy issues in healthcare

A López Martínez, M Gil Pérez… - ACM Computing …, 2023 - dl.acm.org
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 …

[HTML][HTML] Intrusion detection in healthcare 4.0 internet of things systems via metaheuristics optimized machine learning

N Savanović, A Toskovic, A Petrovic, M Zivkovic… - Sustainability, 2023 - mdpi.com
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 …