Trust Management for the LPWAN Devicesin a Smart City
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 1
Abstract
The Internet of Things (IoT) is used in several domains like health care, transportation, military, banking, and many more. These applications can lead to the realization of a smart city application. Recently, Low Power Wide Area Networks (LPWAN) have been getting attention to implement various IoT applications. However, LPWAN devices are deployed in an environment where they can face malicious cyber-attacks leading to compromised data. To make successful network communication, security is an important factor that must be taken into consideration. Previously, many solutions involving sophisticated data encryption and machine learning techniques have been proposed for this purpose. However, they require processing power which is mostly not available in the LPWAN devices. Here, we can apply lightweight trust management techniques to find the reliability of a node. In this article, we propose a trust management framework for securing LPWAN-based Smart City applications. Multiple Smart City case studies are considered for evaluating the proposed technique and results show better intruder detection.
Authors and Affiliations
Saifullah Tanvir, Zeeshan Ali Khan
Keywords
Related Articles
- EP ID EP763024
- DOI -
- Views 34
- Downloads 0
DeepFaces: Advancing Age and Gender Classification using Facial Images with Deep Features
In the realm of identity recognition and social interactions, human facial features play a pivotal role. Accurate age estimation and gender classification from facial images have practical implications across various f...
Enhancing Three-Phase Induction Motor Performance with Soft Ramp Control
hree-phase induction motors experience high inrush currents during start-up, exceeding their rated capacity and potentially damaging stator windings. This paper explores the implementation of soft ramp control to addre...
Steering Control of Ackermann Architecture Weed Managing Mobile Robot
A robot designed to identify and remove weeds from crops is known as a weed control robot. Weeds compete with primary crops for moisture, hinder their growth, and may harm both human and animal health, leading to reduc...
Heart Sense: A novel IoT integrated Deep Learning Based ECG Image Analysis forEnhanced Heart Disease Prediction
The IoT based advancements in the healthcare networks leveraging the unmatched capabilities of the Internet of Things for various fatal disease prediction and remote health monitoring that proved to be very beneficial...
Recurrent Neural Network and Multi-Factor Feature Filtering for Ransomware Detection in Android Apps
The market is flooded with Android Software (apps), and at the same time that number is growing quickly, and so are the many security exploits that take advantage of such apps. The effectiveness of traditional defensiv...