Towards Optimized Security Attributes for IoT Devices in Smart Agriculture Based on the IEC 62443 Security Standard

Author:

Shaaban Abdelkader MagdyORCID,Chlup SebastianORCID,El-Araby NahlaORCID,Schmittner ChristophORCID

Abstract

Implementing applicable security measures into system engineering applications is still one of the most challenging processes in building secure infrastructure. This process needs to consider a variety of security attributes to support securing system components against numerous cyberattacks that could exploit vulnerable points in the system. The redundancy in these attributes is also another challenge that could degrade system functionality and impact the availability of the system’s services. Therefore, it is crucial to choose appropriate security properties by considering their ability to address cyber threats with minimal negative impacts on the system’s functionality. This process is still subjected to inconsistencies due to ad- oc determinations by a specialist. In this work, we propose a novel algorithm for optimizing the implementation of security mechanisms in IoT applications for the agricultural domain to ensure the effectiveness of the applied mechanisms against the propagation of potential threats. We demonstrate our proposed algorithm on an IoT application in the farming domain to see how the algorithm helps with optimizing the applied security mechanisms. In addition, we used THREATGET to analyze cyber risks and validate the optimized security attributes against the propagation of cyber threats.

Funder

European Union

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference48 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Trends and Challenges in AIoT Implementation for Smart Home, Smart Buildings, and Smart Cities in Cloud Platforms;Advances in Computational Intelligence and Robotics;2024-02-23

2. Smart Agriculture Applications Using Internet of Things;Practice, Progress, and Proficiency in Sustainability;2024-01-05

3. Mapping smart farming: Addressing agricultural challenges in data-driven era;Renewable and Sustainable Energy Reviews;2024-01

4. Security of digital agriculture networks: A review and bibliometric analysis;2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet);2023-12-11

5. Blockchain and Federated Learning Based Integrated Approach for Agricultural Internet of Things;Intelligent Systems and Networks;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3