Dynamic Blackhole Grayhole detection for IoT devices connected using DTN

Ansari, Afroze and Waheed, Mohammed (2021) Dynamic Blackhole Grayhole detection for IoT devices connected using DTN. In: ICASISET 2020, 16-17 May 2020, Chennai, India.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: center for regional studies regional office
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: EAI Editor III.
Date Deposited: 09 Mar 2021 09:47
Last Modified: 09 Mar 2021 09:47
URI: https://eprints.eudl.eu/id/eprint/1375

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