Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions

N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

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 …

[HTML][HTML] An explainable deep learning-enabled intrusion detection framework in IoT networks

M Keshk, N Koroniotis, N Pham, N Moustafa… - Information …, 2023 - Elsevier
Although the field of eXplainable Artificial Intelligence (XAI) has a significant interest these
days, its implementation within cyber security applications still needs further investigation to …

A deep learning approach for intrusion detection in Internet of Things using focal loss function

AS Dina, AB Siddique, D Manivannan - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

A comprehensive survey for IoT security datasets taxonomy, classification and machine learning mechanisms

C Alex, G Creado, W Almobaideen, OA Alghanam… - Computers & …, 2023 - Elsevier
This survey paper compares existing IoT related datasets found in the literature with three
main objectives. The first one is to highlight the characteristics of these datasets such as the …

Security issues in Internet of Vehicles (IoV): A comprehensive survey

H Taslimasa, S Dadkhah, ECP Neto, P Xiong, S Ray… - Internet of Things, 2023 - Elsevier
Nowadays, connected vehicles have a major role in enhancing the driving experience.
Connected vehicles in the network share their knowledge with the help of the network …

Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach

G de Carvalho Bertoli, LAP Junior, O Saotome… - Computers & …, 2023 - Elsevier
The constantly evolving digital transformation imposes new requirements on our society.
Aspects relating to reliance on the networking domain and the difficulty of achieving security …

Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm

H Asgharzadeh, A Ghaffari, M Masdari… - Journal of Parallel and …, 2023 - Elsevier
Nowadays, the growth and pervasiveness of Internet of Things (IoT) devices have led to
increased attacks by hackers and attackers. On the other hand, using IoT infrastructure in …

An intrusion detection system for edge-envisioned smart agriculture in extreme environment

D Javeed, T Gao, MS Saeed… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The deployment of Internet of Things (IoT) systems in Smart Agriculture (SA) operates in
extreme environments including wind, snowfall, flooding, landscape, and so on for collecting …

[HTML][HTML] Analysis of IoT security challenges and its solutions using artificial intelligence

T Mazhar, DB Talpur, TA Shloul, YY Ghadi, I Haq… - Brain Sciences, 2023 - mdpi.com
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …