A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing

S Cherbal, A Zier, S Hebal, L Louail… - The Journal of …, 2024 - Springer
Abstract The Internet of Things (IoT) is an important virtual network that allows remote users
to access linked multimedia devices. The development of IoT and its ubiquitous application …

[HTML][HTML] A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection

M Vishwakarma, N Kesswani - Decision Analytics Journal, 2023 - Elsevier
Technology is pivotal in the rapid growth of services and intensifying the quality of life.
Recent technology, like the Internet of Things (IoT), demonstrates an impressive …

An intelligent blockchain-based secure link failure recovery framework for software-defined internet-of-things

J Ali, G Shan, N Gul, B Roh - Journal of Grid Computing, 2023 - Springer
The frequency of link failures in Internet-of-Things (IoT) network are more than the node
failures. Hence, effective link recovery schemes are required for a seamless communication …

A bert-based recommender system for secure blockchain-based cyber physical drug supply chain management

A Yazdinejad, E Rabieinejad, T Hasani, G Srivastava - Cluster Computing, 2023 - Springer
Abstract Drug Supply Chain Management (DSCM) can be one of the most affected streams
in healthcare due to pandemics. The delivery of medicine to patients through DSCM is a …

Distributed blockchain-SDN secure IoT system based on ANN to mitigate DDoS attacks

R Jmal, W Ghabri, R Guesmi, BM Alshammari… - Applied Sciences, 2023 - mdpi.com
By bringing smart and advanced solutions, the Internet of Things (IoT) has opened up new
dimensions of innovative services and processing power for contemporary living standards …

Deep learning hybridization for improved malware detection in smart Internet of Things

AA Almazroi, N Ayub - Scientific Reports, 2024 - nature.com
The rapid expansion of AI-enabled Internet of Things (IoT) devices presents significant
security challenges, impacting both privacy and organizational resources. The dynamic …

MLSTL-WSN: machine learning-based intrusion detection using SMOTETomek in WSNs

MA Talukder, S Sharmin, MA Uddin, MM Islam… - International Journal of …, 2024 - Springer
In the domain of cyber-physical systems, wireless sensor networks (WSNs) play a pivotal
role as infrastructures, encompassing both stationary and mobile sensors. These sensors …

SOS-FCI: a secure offloading scheme in fog–cloud-based IoT

Y Salami, V Khajehvand, E Zeinali - The Journal of Supercomputing, 2024 - Springer
Abstract The Internet of Things (IoT) is growing and has significantly impacted today's life.
Although the IoT plays an essential role in human life, it has processing limitations, and this …

Intrusion detection for Industrial Internet of Things based on deep learning

Y Lu, S Chai, Y Suo, F Yao, C Zhang - Neurocomputing, 2024 - Elsevier
Intrusion detection technology can actively detect abnormal behaviors in the network and is
important to the security of Industrial Internet of Things (IIOT). However, there are some …