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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16654
Title: Data-driven Secure Authentication for Smart Grid IoT Networks
Authors: Tripathi, Sharda
Keywords: EEE
Cyber physical systems (CPS)
Secure IoT networks
Network attacks
Authentication Protocols
Denial of service (DOS)
Machine learning (ML)
Issue Date: Jul-2023
Publisher: IEEE
Abstract: Internet of Things (IoT) has found wide-spread usage in cyber physical systems. We consider the security aspects related to cyber physical systems, particularly the smart grid, wherein IoT devices are deployed for monitoring and control, often in the open without any active surveillance, thereby increasing their vulnerability to security attacks. To this end, device authentication is an essential security feature for smart grid IoT networks. A desirable authentication protocol designed for IoT devices should not only be robust when the device is compromised by an adversary, it also needs to be computationally efficient in the wake of limited storage and computational capabilities of IoT devices. In this work, we address the critical issue of device security in smart grid IoT networks, and propose a data-driven, yet lightweight and privacy preserving authentication scheme for IoT devices. The performance analysis based on our experiments show that the proposed scheme is robust against heterogeneous network attacks, and significantly reduces computational load.
URI: https://ieeexplore.ieee.org/abstract/document/10234815
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16654
Appears in Collections:Department of Electrical and Electronics Engineering

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