Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a developing technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
Performance analysis of machine learning algorithms in intrusion detection system: A review
The rapid growth of technologies not only formulates life easier but also exposes a lot of
security issues. With the advancement of the Internet over years, the number of attacks over …
security issues. With the advancement of the Internet over years, the number of attacks over …
Role of machine learning and deep learning in securing 5G-driven industrial IoT applications
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …
stage for future technology where industrial use cases like smart cities and smart houses will …
Machine learning in network anomaly detection: A survey
S Wang, JF Balarezo, S Kandeepan… - IEEE …, 2021 - ieeexplore.ieee.org
Anomalies could be the threats to the network that have ever/never happened. To protect
networks against malicious access is always challenging even though it has been studied …
networks against malicious access is always challenging even though it has been studied …
Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation
Intrusion detection systems (IDSs) are intrinsically linked to a comprehensive solution of
cyberattacks prevention instruments. To achieve a higher detection rate, the ability to design …
cyberattacks prevention instruments. To achieve a higher detection rate, the ability to design …
A regularized cross-layer ladder network for intrusion detection in industrial internet of things
As part of Big Data trends, the ubiquitous use of the Internet of Things (IoT) in the industrial
environment has generated a significant amount of network traffic. In this type of IoT …
environment has generated a significant amount of network traffic. In this type of IoT …
Intrusion detection technique in wireless sensor network using grid search random forest with Boruta feature selection algorithm
S Subbiah, KSM Anbananthen… - Journal of …, 2022 - ieeexplore.ieee.org
Attacks in wireless sensor networks (WSNs) aim to prevent or eradicate the network's ability
to perform its anticipated functions. Intrusion detection is a defense used in wireless sensor …
to perform its anticipated functions. Intrusion detection is a defense used in wireless sensor …
Intrusion detection systems for intra-vehicle networks: A review
A modern vehicle is a complex system of sensors, electronic control units, and actuators
connected through different types of intra-vehicle networks to control and monitor the state of …
connected through different types of intra-vehicle networks to control and monitor the state of …