LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the <i>k</i>-Barriers for Intrusion Detection Using Wireless Sensor Network
The dramatic increase in the computational facilities integrated with the explainable machine learning algorithms allows us to do fast intrusion detection and prevention at border areas using Wireless Sensor Networks (WSNs). This study proposed a novel approach to accurately predict the number of ba...
Main Authors: | Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma, Cheng-Chi Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/3/1070 |
Similar Items
-
Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection
by: Minxiao Wang, et al.
Published: (2024-03-01) -
An ensemble learning based IDS using Voting rule: VEL-IDS
by: Sura Emanet, et al.
Published: (2023-09-01) -
ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks
by: Vaibhav Kotiyal, et al.
Published: (2021-05-01) -
Blockchain Assisted Fireworks Optimization with Machine Learning based Intrusion Detection System (IDS)
by: Sudhakar Thiruvenkatasamy, et al.
Published: (2024-01-01) -
DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking
by: Tuan Anh Tang, et al.
Published: (2020-09-01)