A deep learning approach for intrusion detection in Internet of Things using focal loss function
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …
transportation, manufacturing, military, agriculture, and other industries. However, for the …
The fog computing for internet of things: review, characteristics and challenges, and open issues
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 …
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
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 …
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …
Fuzzy theory in fog computing: review, taxonomy, and open issues
Geographically dispersed Fog Computing architecture ubiquitously connected to a range of
heterogeneous nodes at the edge of the network can provide cooperative flexible, and …
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 …
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 …
facilities for new energy electric vehicles (NEVs), have become an important part of the …
Multi-objective evolutionary neural architecture search for network intrusion detection
Abstract Network Intrusion Detection (NID) becomes significantly important for protecting the
security of information systems, as the frequency and complexity of network attacks are …
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
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 …
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
The rapid development of intelligent manufacturing is inseparable from collaboration among
smart factories (SFs). In the real unmanned intelligent collaborative production process …
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 …
of life. Conversely, IoT turns out to be progressively a superlative target for malicious attacks …