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Title Rankimpact: A Study Of Rank Attacks Impact Over Rpl Based Internet Of Things Networks
ID_Doc 44130
Authors Subhash P.
Year 2023
Published International Symposium on Advanced Networks and Telecommunication Systems, ANTS
DOI http://dx.doi.org/10.1109/ANTS59832.2023.10468725
Abstract One of these rapidly evolving technologies, the Internet of Things (IoT), is increasingly demonstrating its capacity to enable more efficient and sustainable smart city infrastructure. Smart cities rely heavily on IoT apps because of their many advantages and ease of integration. The "Internet of Things in Industry,"also known as the Industrial Internet of Things (IIoT), is a domain where linked devices are utilized to deliver a range of services related to operational technology, manufacturing, utilities, and machine monitoring. IoT is however susceptible to a number of significant security problems that need to be addressed because of its broad use. In environments where IIoT resources are limited, the Routing Protocol for Low Power and Lossy Networks (RPL), based on IPv6, is the ideal choice. Additionally, RPL is more susceptible to a variety of attacks and, if they are not handled, could result in a decline in network performance. We propose the study of rank attacks and their impacts on a network's packet delivery ratio (PDR), throughput, inter-packet time, and power consumption are the main objectives of this work. Further, the examination is surely helpful in estimating the performance losses in the network and accordingly devising the mitigation models further. To this end, the results of the study have clearly shown evidence that the attack has significantly lowered the performance of RPL-based IoT and IIoT contexts. © 2023 IEEE.
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