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Type: Conference paper
Title: Visualization and Attack Prevention for a Sensor-Based Agricultural Monitoring System
Author: Zhou, Y.
Shi, Z.
Sun, R.
Citation: Proceedings of the ACM International Conference Proceeding Series (ACSW), 2022, pp.84-90
Publisher: Association for Computing Machinery
Issue Date: 2022
ISBN: 9781450396066
Conference Name: Australasian Computer Science Week (ACSW) (14 Feb 2022 - 17 Feb 2022 : Virtual Online)
Statement of
Yifan Zhou, Zhendong Shi, Ruoxi Sun
Abstract: This project proposes a sensor-based visual agricultural monitoring system. Distinguished from traditional agricultural monitoring systems, this system further analyzes basic agricultural data, prevents attacks such as Jamming, Flooding, and Exhaustion, and monitors common wireless network attacks such as Selective Forwarding, Black Hole Attacks, Sinkhole Attacks, Flooding Attacks and Misdirection Attacks. Experimental verification and evaluation of the attack prevention and monitoring are also conducted.
Rights: © 2022 Association for Computing Machinery. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from
DOI: 10.1145/3511616.3513102
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Appears in Collections:Computer Science publications

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