SCRS Proceedings of International Conference of Undergraduate Students 2023
Security and Privacy for IoT Data Through Trust Management System by using Cluster Based Management
Authors: Meena Sachdeva and Davinder Kumar
Publishing Date: 19-10-2023
ISBN: 978-81-955020-4-2
Abstract
Internet of Things (IoT) networks has been evolving phenomenally over the past two decades. Although the devices generally hold relatively low memory, resource and processing capability, the challenge with its trend is that nodes generate a vast volume of data. That is where cloud technology kicks off to offer storage space. An extensive network functioning with cloud assistance might be vulnerable due to its centralized nature and robustness. Besides, the devices may be exposed to malicious activities due to weak access control policies. However, cloud technology provides a platform on which such a security system can execute. Within the framework of these criteria, a centralized, secure architecture fails to consider the mobile and edge devices. This raises many questions about the trust in third-party cloud intermediaries that cause security and privacy leakages. This paper presents trust management system mechanism as an excellent component providing security solution in the network which not just lessens device's energy consumption enhances the network lifetime, as well offers a proficient trust model to guarantee the network is treated as reliable, free from any sort of malicious attackers in the IoT system. This describes cluster priority based IoT system with their advantages.
Keywords
Trust Management, IoT , Cluster Priority Based Trust Management
Cite as
Meena Sachdeva and Davinder Kumar, "Security and Privacy for IoT Data Through Trust Management System by using Cluster Based Management", In: Deepak Bhatia and Himanshu Arora (eds), SCRS Proceedings of International Conference of Undergraduate Students 2023, SCRS, India, 2023, pp. 61-74. https://doi.org/10.56155/978-81-955020-4-2-7