Research Article
Dynamic Blackhole Grayhole detection for IoT devices connected using DTN
@INPROCEEDINGS{10.4108/eai.16-5-2020.2304036, author={Afroze Ansari and Mohammed Abdul Waheed}, title={Dynamic Blackhole Grayhole detection for IoT devices connected using DTN}, proceedings={Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India}, publisher={EAI}, proceedings_a={ICASISET}, year={2021}, month={1}, keywords={center for regional studies regional office}, doi={10.4108/eai.16-5-2020.2304036} }- Afroze Ansari
Mohammed Abdul Waheed
Year: 2021
Dynamic Blackhole Grayhole detection for IoT devices connected using DTN
ICASISET
EAI
DOI: 10.4108/eai.16-5-2020.2304036
Abstract
IoT based connections are common in new era of communication and henceforth, an over sight of analysis is required to be viewed on challenges occurred under transmission channel. In this paper, a new technique is developed to assure the safer transmission of data via IoT devices connected using Delay Tolerant Network (DTN). Typically, the technique aims to detect blackhole and Grayhole attack and hostage nodes to assure early detection. The technique is first of its kind in IoT devices. The experimental results of technique are evaluated using a real-time IoT MSP431 module and the result demonstrates an accuracy of 96.07% of detection under a 64 cluster node environment of WSN.
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