Enhancing intrusion detection using wireless sensor networks: A novel ahp-madm aggregated multiple type 3 fuzzy logic-based k-barriers prediction system

A Tarafdar, A Sheikh, P Majumder, A Baidya… - Peer-to-Peer Networking …, 2024 - Springer
In an evolving defense landscape with persistent security threats, enhancing Wireless
Sensor Networks (WSN) for border security and advancing Intrusion Detection Systems …

Enhancing Intrusion Detection in Wireless Sensor Networks Using Deep Learning-Based K-Barriers Prediction

S Chokkalingam - 2023 International Conference on Self …, 2023 - ieeexplore.ieee.org
For wireless sensor networks (WSNs) to remain secure, effective intrusion detection is a vital
requirement. This research work enhances a feed-forward artificial neural network (ANN) …

LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using …

A Singh, J Amutha, J Nagar, S Sharma, CC Lee - Sensors, 2022 - mdpi.com
The dramatic increase in the computational facilities integrated with the explainable
machine learning algorithms allows us to do fast intrusion detection and prevention at …

[HTML][HTML] A deep learning based feed forward artificial neural network to predict the K-barriers for intrusion detection using a wireless sensor network

S Muruganandam, R Joshi, P Suresh… - Measurement …, 2023 - Elsevier
Abstract Wireless Sensor Networks (WSN) has a wide range of opportunities and can be
applied to almost every part of our life. Intrusion detection and monitoring across disputed …

F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k-barriers for intrusion detection

A Singh, SMH Mousavi, J Nagar - Applied Soft Computing, 2024 - Elsevier
Ensuring fast and efficient Intrusion Detection and Prevention (IDP) at international borders
is crucial for maintaining security and safeguarding nations. In this study, we propose an …

AutoML-ID: Automated machine learning model for intrusion detection using wireless sensor network

A Singh, J Amutha, J Nagar, S Sharma, CC Lee - Scientific reports, 2022 - nature.com
Momentous increase in the popularity of explainable machine learning models coupled with
the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient …

P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k− barriers for intrusion detection

A Singh, J Nagar, J Amutha, S Sharma - Engineering Applications of …, 2023 - Elsevier
Drastic advancement in computing technology and the dramatic increase in the usage of
explainable machine learning algorithms provide a promising platform for developing robust …

A situation based predictive approach for cybersecurity intrusion detection and prevention using machine learning and deep learning algorithms in wireless sensor …

F Al-Quayed, Z Ahmad, M Humayun - IEEE Access, 2024 - ieeexplore.ieee.org
Industry 4.0 is fundamentally based on networked systems. Real-time communication
between machines, sensors, devices, and people makes it easier to transmit the data …

[HTML][HTML] Particle swarm optimization based artificial neural network (PSO-ANN) model for effective k-barrier count intrusion detection system in WSN

SL Narayanan, M Kasiselvanathan… - Measurement …, 2023 - Elsevier
Abstract Wireless Sensor Networks (WSN) offers an extensive array of possibilities and finds
application to nearly every wake of human lifetime. Two of the methods are intrusion …

A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks

A Singh, J Amutha, J Nagar, S Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract Wireless Sensor Networks (WSNs) is a promising technology with enormous
applications in almost every walk of life. One of the crucial applications of WSNs is intrusion …