Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India

Research Article

Dynamic Blackhole Grayhole detection for IoT devices connected using DTN

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  • @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
Afroze Ansari1,*, Mohammed Abdul Waheed1
  • 1: Center for Regional Studies, Regional Office Visvesvaraya Technological University, Kalaburgi, India
*Contact email: ansariafroze@yahoo.com

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.