On the Contents and Utility of IoT Cybersecurity Guidelines

Author:

Chen Jesse1ORCID,Anandayuvaraj Dharun2ORCID,Davis James C.2ORCID,Rahaman Sazzadur1ORCID

Affiliation:

1. University of Arizona, Tucson, USA

2. Purdue University, West Lafayette, USA

Abstract

Cybersecurity concerns of Internet of Things (IoT) devices and infrastructure are growing each year. In response, organizations worldwide have published IoT security guidelines to protect their citizens and customers by providing recommendations on the development and operation of IoT systems. While these guidelines are being adopted, e.g. by US federal contractors, their content and merits have not been critically examined. Specifically, we do not know what topics and recommendations they cover and their effectiveness at preventing real-world IoT failures. In this paper, we address these gaps through a qualitative study of guidelines. We collect 142 IoT cybersecurity guidelines and sample them for recommendations until reaching saturation at 25 guidelines. From the resulting 958 unique recommendations, we iteratively develop a hierarchical taxonomy following grounded theory coding principles and study the guidelines’ comprehensiveness. In addition, we evaluate the actionability and specificity of each recommendation and match recommendations to CVEs and security failures in the news they can prevent. We report that: (1) Each guideline has gaps in its topic coverage and comprehensiveness; (2) 87.2% recommendations are actionable and 38.7% recommendations can prevent specific threats; and (3) although the union of the guidelines mitigates all 17 of the failures from our news stories corpus, 21% of the CVEs evade the guidelines. In summary, we report shortcomings in each guideline’s depth and breadth, but as a whole they address major security issues.

Publisher

Association for Computing Machinery (ACM)

Reference128 articles.

1. [n. d.]. Cybersecurity Labelling Scheme (CLS). https://www.csa.gov.sg/our-programmes/certification-and-labelling-schemes/cybersecurity-labelling-scheme Accessed: 2023

2. 1998. Federal Register of Legislation - Privacy Act 1988. https://www.legislation.gov.au/C2004A03712/2014-03-12/text Accessed: 2024

3. 2009. ISO 26262. https://saemobilus.sae.org/content/2009-01-0758/ Accessed: 2023

4. 2010. IEC 61508. https://webstore.iec.ch/publication/5515 Accessed: 2023

5. 2013. PA DSS v3.0 Requirements and Security Assessment Procedures. https://listings.pcisecuritystandards.org/minisite/en/docs/PA-DSS_v3.pdf Accessed: 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