A novel approach for securing routing protocol for low power and lossy networks rpl based internet of things from rankattacks

Abstract

The Internet of Things (IoT) is a cutting edge technology that newlinecomprises a network of interconnected and uniquely identifiable devices or newlinethings, such as sensors, actuators, Radio Frequency Identity (RFID) tags, newlineMachine-to-Machine (M2M) networks, etc. Consequently, both the devices newlineand the networks exhibit heterogeneity and consist of several Low Power and newlineLossy Networks (LLNs). The internal memory capacity and processing speed newlineof LLN devices are constrained. Due to these resource constraints, newlineconventional routing protocols cannot be used in LLNs. To address this issue, newlineseveral routing protocols have been developed, with RPL emerging as a newlinestandardized choice. newlineRPL is an interoperable source-routing protocol designed to meet the newlineresource requirements of LLN devices. It uses control packets to organise the newlinenodes into a tree-like topology known as Destination Oriented Directed newlineAcyclic Graph (DODAG). During DODAG construction, RPL is susceptible newlineto various attacks. Therefore, the ability to classify attacks becomes important newlinefor promptly implementing security measures to detect and remove attackers newlinefrom the topology. So, this research focuses on the classification of attacks, as newlinewell as the identification and isolation of attackers from the DODAG newlinetopology. newlineFor the classification of attacks, a trained classification model suitable newlinefor resource-constrained network is essential. Hence, an attempt has been newlinemade in this research to generate a dataset (containing internal increased and newlinedecreased rank attack, version attack, DIS and Hello flooding attack, selective newlineforwarding attack and blackhole attack) and to classify the attacks. newline