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 …

The fog computing for internet of things: review, characteristics and challenges, and open issues

MA Al-Shareeda, AA Alsadhan, HH Qasim… - Bulletin of Electrical …, 2024 - beei.org
The internet of things (IoT) research envisions a world in which common place objects are
linked to the internet and trade, store, process, and gather data from their surroundings. Due …

An explainable ensemble deep learning approach for intrusion detection in industrial Internet of Things

MS Mousa'B, MK Hasan, R Sulaiman, S Islam… - IEEE …, 2023 - ieeexplore.ieee.org
Ensuring the security of critical Industrial Internet of Things (IIoT) systems is of utmost
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …

Fuzzy theory in fog computing: review, taxonomy, and open issues

ZJ Al-Araji, SSS Ahmad, N Kausar, A Farhani… - IEEE …, 2022 - ieeexplore.ieee.org
Geographically dispersed Fog Computing architecture ubiquitously connected to a range of
heterogeneous nodes at the edge of the network can provide cooperative flexible, and …

DANTD: A deep abnormal network traffic detection model for security of industrial internet of things using high-order features

G Shi, X Shen, F Xiao, Y He - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

IoT-enabled fault prediction and maintenance for smart charging piles

H Dui, X Dong, L Chen, Y Wang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the application of the Internet of Things (IoT), smart charging piles, which are important
facilities for new energy electric vehicles (NEVs), have become an important part of the …

Multi-objective evolutionary neural architecture search for network intrusion detection

Q Lin, Z Liu, Y Yang, KC Wong, Y Lu, J Li - Swarm and Evolutionary …, 2024 - Elsevier
Abstract Network Intrusion Detection (NID) becomes significantly important for protecting the
security of information systems, as the frequency and complexity of network attacks are …

ADCL: toward an adaptive network intrusion detection system using collaborative learning in IoT networks

Z Ma, L Liu, W Meng, X Luo, L Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the widespread of cyber attacks, network intrusion detection system (NIDS) is becoming
an important and essential tool to protect Internet of Things (IoT) environments. However, it …

Blockchain and game theory enable high-efficiency data sharing in the IIoT

Y Wang, X You, X Zhao - Computers and Electrical Engineering, 2024 - Elsevier
The rapid development of intelligent manufacturing is inseparable from collaboration among
smart factories (SFs). In the real unmanned intelligent collaborative production process …

[PDF][PDF] Intrusion detection system and mitigation of threats in IoT networks using AI techniques: A review.

S Sheeja - Engineering & Applied Science Research, 2023 - researchgate.net
In recent times, IoT has been used in a wide range of applications for improving the quality
of life. Conversely, IoT turns out to be progressively a superlative target for malicious attacks …