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End-to-end security enabled intelligent remote IoT monitoring system.

Authors :
Saleem, Kashif
Zinou, Mohammed Farouk
Mohammad, Farah
Ouni, Ridha
Elhendi, Ahmed Zohier
Almuhtadi, Jalal
Palai, G.
Khan, Ullah
Source :
Frontiers in Physics; 2024, p1-13, 13p
Publication Year :
2024

Abstract

Introduction: Internet of things (IoT) compose of million of devices connected together over the internet. IoT plays a vital role now a days and especially in future, the most of the monitoring and data collection. The data should be secure while collection and as well in the process of transferring till the destination whether Service Organization Control (SOC) or to cloud for storage. In this paper, a secure IoT based intelligent monitoring system is proposed. Methods: An intelligent IoT station that interacts via cellular connection to relay data to the cloud is constructed using the Waspmote platform. The algorithm is injected to automatically filter and only keep the new data for transfer to avoid redundancy. The advanced encryption standard (AES) 256-bit method is enabled for onboard data encryption and then the generated cipher text is transmitted. The encrypted data is then stored over the cloud to ensure privacy. Moreover, the mobile application (mApp) is developed to be installed on handheld devices for calling the secure data from the cloud, decrypting it, and displaying it as per user input, whether real-time or historical. Results and Discussion: The encryption algortihm helps in securing the proposed monitoring system from brute force, man in the middle, phishing, spoofing, and denial of service (DoS) attacks. The results of the real testbed experimentation demonstrate the complexity evaluation and reliability of IoT monitoring systems with end-to-end data security in terms of encryption algorithm delay and data rate, respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2296424X
Database :
Complementary Index
Journal :
Frontiers in Physics
Publication Type :
Academic Journal
Accession number :
176170670
Full Text :
https://doi.org/10.3389/fphy.2024.1357209