Detection of security attacks in industrial IoT networks: A blockchain and machine learning approach

H Vargas, C Lozano-Garzon, GA Montoya, Y Donoso - Electronics, 2021 - mdpi.com
Internet of Things (IoT) networks have been integrated into industrial infrastructure schemes,
positioning themselves as devices that communicate highly classified information for the …

Toward an intrusion detection model for IoT-based smart environments

C Hazman, A Guezzaz, S Benkirane… - Multimedia Tools and …, 2023 - Springer
Abstract Nowadays, modern Internet of Things (IoT) applications are enabling smart cities
across the world. They provide remote device monitoring, management, and control, and …

[Retracted] Green Space Planning and Landscape Sustainable Design in Smart Cities considering Public Green Space Demands of Different Formats

J Shan, Z Huang, S Chen, Y Li, W Ji - Complexity, 2021 - Wiley Online Library
The fast urban development leads to many complex problems. A smart city aims to solve
these problems using scientific approaches. Urban Green Space (UGS) is a fundamental …

Constriction factor particle swarm optimization based load balancing and cell association for 5G heterogeneous networks

MK Hasan, TC Chuah, AA El-Saleh, M Shafiq… - Computer …, 2021 - Elsevier
With the rapidly growing traffic demand, the cellular industry is moving toward heterogeneity
to fulfill the heavy traffic requirement. The existing heterogeneous networks are comprised of …

IOTA‐Based Mobile Crowd Sensing: Detection of Fake Sensing Using Logit‐Boosted Machine Learning Algorithms

M Hameed, F Yang, MI Ghafoor… - Wireless …, 2022 - Wiley Online Library
In the Internet of Things (IoT) era, the mobile crowd sensing system (MCS) has become
increasingly important. The Internet of Things Auto (IOTA) has evolved rapidly in practically …

Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)

GP Fernando, AAH Brayan, AM Florina… - IEEE …, 2023 - ieeexplore.ieee.org
One of the fields where Artificial Intelligence (AI) must continue to innovate is computer
security. The integration of Wireless Sensor Networks (WSN) with the Internet of Things (IoT) …

A generative adversarial network model based on intelligent data analytics for music emotion recognition under IoT

IS Huang, YH Lu, M Shafiq… - Mobile Information …, 2021 - Wiley Online Library
The popularity of the Internet has brought the rapid development of artificial intelligence,
affective computing, Internet of things (IoT), and other technologies. Particularly, the …

Shieldrnn: A distributed flow-based ddos detection solution for iot using sequence majority voting

F Alasmary, S Alraddadi, S Al-Ahmadi… - IEEE Access, 2022 - ieeexplore.ieee.org
The Distributed Denial of Service (DDoS) attack is considered one of the most critical threats
on the Internet, blocking legitimate users from accessing online services. Botnets have …

Concept drift analysis by dynamic residual projection for effectively detecting botnet cyber-attacks in IoT scenarios

H Qiao, B Novikov, JO Blech - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
IoT devices typically stream data such as sensor values to other devices including cloud-
based services. Analyzing these streams for cyber-attacks is a challenging task. This is due …

[HTML][HTML] Adaptive aggregation based IoT traffic patterns for optimizing smart city network performance

AS Ibrahim, KY Youssef, AH Eldeeb… - Alexandria Engineering …, 2022 - Elsevier
Abstract Internet of Things (IoT) technology drives lifestyle changes in smart city
infrastructure due to rapid growth of services and activities that develop well-being. One of …