Helping novice developers harness security issues in cloud-IoT systems

Author:

Corno FulvioORCID,De Russis LuigiORCID,Mannella LucaORCID

Abstract

AbstractThe development of cloud-connected Internet of Things (IoT) systems is becoming more and more affordable, even to novice programmers, thanks to dedicated cloud platforms that already integrate the core functionality needed by an IoT system. In this context, a growing number of IoT systems are being developed and deployed on open networks, often without integrating adequate security in the process. Novice IoT programmers, in particular, tend to overlook security issues, as confirmed by a small user study. Starting from this risk, the paper analyzes the security features available in two major cloud-IoT platforms (Amazon Web Services and Microsoft Azure) and highlights those settings, tools, and practices designed to ensure more secure implementations. We observed that these platforms would reasonably address many security problems detected in the study, if only the correct features were identified and used. The paper finally contributes a set of guidelines to support novice IoT developers in avoiding the main and recurrent security issues in their projects and better exploiting cloud-IoT platforms’ inherent security features.

Publisher

Springer Science and Business Media LLC

Subject

Renewable Energy, Sustainability and the Environment,Artificial Intelligence,Computer Science Applications,Computer Networks and Communications

Reference62 articles.

1. Deepak K, Kelly S, Benton C, Deepali G, Galina A, Dmitry K, Rajarshi G, Zakir D (2019) All things considered: an analysis of IoT devices on home networks. In: 28th USENIX security symposium (USENIX Security 19), pp 1169–1185. ISBN 978-1-939133-06-9. https://www.usenix.org/conference/usenixsecurity19/presentation/kumar-deepak

2. Raj B, Bob G, Dennis S, Kevin J, David W (2021) Magic quadrant for cloud infrastructure and platform services. Technical report, Gartner Inc., July. https://www.gartner.com/doc/reprints?id=1-271OE4VR &ct=210802

3. Manos A, Tim A, Michael B, Matt B, Elie B, Jaime C, Zakir D, Alex HJ, Invernizzi L, Michalis K, Deepak K, Chaz L, Zane M, Joshua M, Damian M, Chad S, Nick S, Kurt T, Zhou Y (2017) Understanding the mirai botnet. In: 26th USENIX security symposium (USENIX Security 17), pp 1093–1110, Vancouver, BC, August. USENIX Association. ISBN 978-1-931971-40-9. https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/antonakakis

4. CVE-2021-28372. Available from MITRE, CVE-ID CVE-2021-28372., March 13 2021. http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-28372

5. Corno F, De Russis L, Mannella L (2021) Perception of security issues in the development of Cloud-IoT systems by a novice programmer. In: Intelligent environments 2021, pp 5–15. IOS Press. https://doi.org/10.3233/AISE210074

Cited by 4 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. Security at the Edge for Resource-Limited IoT Devices;Sensors;2024-01-17

2. Security Evaluation of Arduino Projects Developed by Hobbyist IoT Programmers;Sensors;2023-03-02

3. Security and Privacy Aware Programming Model for IoT Applications in Cloud Environment;International Journal on Cloud Computing: Services and Architecture;2023-02-27

4. IoT Security and Privacy Challenges from the Developer Perspective;Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intelligence;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