[PDF][PDF] Evaluation of machine learning algorithms for intrusion detection system in WSN

MS Alsahli, MM Almasri, M Al-Akhras… - … Journal of Advanced …, 2021 - researchgate.net
Technology has revolutionized into connecting “things” together with the rebirth of the global
network called Internet of Things (IoT). This is achieved through Wireless Sensor Network …

Deep learning and machine learning techniques for intrusion detection and prevention in wireless sensor networks: comparative study and performance analysis

PR Chandre, PN Mahalle, GR Shinde - Design frameworks for wireless …, 2020 - Springer
Nowadays, there is remarkable growth in technology and wireless sensor networks. These
are primarily used for the purpose of communication. Communication between devices may …

Towards building robust intrusion detection system in wireless sensor networks using machine learning and feature selection

S Umamaheshwari, SA Kumar… - … on advancements in …, 2021 - ieeexplore.ieee.org
Wireless sensor Networks (WSN) have numerous applications in today's world. The security
threat, on the other hand, is a major concern in WSN. Incorporating an intrusion detection …

[PDF][PDF] Role of machine learning algorithms intrusion detection in WSNs: a survey

E Baraneetharan - Journal of Information Technology, 2020 - scholar.archive.org
Abstract Machine Learning is capable of providing real-time solutions that maximize the
utilization of resources in the network thereby increasing the lifetime of the network. It is able …

[HTML][HTML] Augmentation in performance and security of WSNs for IoT applications using feature selection and classification techniques

R Yadav, I Sreedevi, D Gupta - Alexandria Engineering Journal, 2023 - Elsevier
Energy consumption, secure connection of Sensor Nodes (SNs), and their performance
analysis play a major role in Wireless Sensor Networks (WSNs) research. Increased case …

Intrusion detection systems for wireless sensor networks using computational intelligence techniques

V Sivagaminathan, M Sharma, SK Henge - Cybersecurity, 2023 - Springer
Abstract Network Intrusion Detection Systems (NIDS) are utilized to find hostile network
connections. This can be accomplished by looking at traffic network activity, but it takes a lot …

Grey wolf based feature reduction for intrusion detection in WSN using LSTM

S Karthic, S Manoj Kumar… - International Journal of …, 2022 - Springer
In the recent days all the digital devices including devices used in Healthcare, Personal
Digital Assistance etc. are connected to the network, consequently data is exposed to …

Investigation of computational intelligence techniques for intrusion detection in wireless sensor networks.

CD McDermott, A Petrovski - … journal of computer …, 2017 - rgu-repository.worktribe.com
Wireless Sensor Networks (WSNs) have become a key technology for the IoT and despite
obvious benefits, challenges still exist regarding security. As more devices are connected to …

A novel clustering approach and adaptive SVM classifier for intrusion detection in WSN: A data mining concept

GM Borkar, LH Patil, D Dalgade, A Hutke - … Computing: Informatics and …, 2019 - Elsevier
Abstract Nowadays Wireless Sensor Network (WSN) mainly faces security issue during
packet transmission between different sensor nodes in network combined with data mining …

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 …