Dynamic Blackhole Grayhole detection for IoT devices connected using DTN

Afroze Ansari, M. Waheed
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引用次数: 0

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.
使用DTN连接的物联网设备的动态黑洞灰洞检测
在新的通信时代,基于物联网的连接是普遍存在的,因此,需要对传输通道下出现的挑战进行过度分析。本文开发了一种新技术,以确保通过使用容忍延迟网络(DTN)连接的物联网设备更安全地传输数据。通常,该技术旨在检测黑洞和灰洞攻击以及人质节点,以确保早期发现。该技术在物联网设备中尚属首次。利用实时物联网MSP431模块对该技术的实验结果进行了评估,结果表明,在WSN的64个集群节点环境下,该技术的检测准确率达到96.07%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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