Openness and Security Thinking Characteristics for IoT Ecosystems

Author:

Vogel Bahtijar,Kajtazi Miranda,Bugeja JosephORCID,Varshney Rimpu

Abstract

While security is often recognized as a top priority for organizations and a push for competitive advantage, repeatedly, Internet of Things (IoT) products have become a target of diverse security attacks. Thus, orchestrating smart services and devices in a more open, standardized and secure way in IoT environments is yet a desire as much as it is a challenge. In this paper, we propose a model for IoT practitioners and researchers, who can adopt a sound security thinking in parallel with open IoT technological developments. We present the state-of-the-art and an empirical study with IoT practitioners. These efforts have resulted in identifying a set of openness and security thinking criteria that are important to consider from an IoT ecosystem point of view. Openness in terms of open standards, data, APIs, processes, open source and open architectures (flexibility, customizability and extensibility aspects), by presenting security thinking tackled from a three-dimensional point of view (awareness, assessment and challenges) that highlight the need to develop an IoT security mindset. A novel model is conceptualized with those characteristics followed by several key aspects important to design and secure future IoT systems.

Publisher

MDPI AG

Subject

Information Systems

Reference59 articles.

1. The Internet of Things: A Movement, Not a Markethttps://cdn.ihs.com/www/pdf/IoT_ebook.pdf

2. The top trends of 2019: Powered by Transformative Technologieshttps://cdn.ihs.com/www/pdf/0119/IHS-Markit-2019-Trends-Report.pdf

3. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power;Zuboff,2019

4. Enabling IoT Ecosystems through Platform Interoperability

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. The Future of Privacy: A Review on AI's Role in Shaping Data Security;2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE);2024-05-29

2. Systematic Mapping Study of Systems Security Engineering for Modular Open Systems;IEEE Open Journal of Systems Engineering;2024

3. Machine Learning Based Network Intrusion Detection System for Internet of Things Cybersecurity;Security-Related Advanced Technologies in Critical Infrastructure Protection;2022

4. A Proposal to Improve Interoperability in the Industry 4.0 Based on the Open Platform Communications Unified Architecture Standard;Computers;2021-05-21

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