Chapter 9 Discovering and analyzing IoT-cloud vulnerabilities

Document Type

Book Chapter

Source of Publication

Accelerating Digital Transformation with the Cloud and the Internet of Things (IoT)

Publication Date

1-1-2025

Abstract

The intricate and evolving IoT-cloud vulnerability instances highlight the critical importance of proactive management in these vulnerabilities in such interconnected environments. We explore the inherent predisposition of IoT-cloud systems to a range of vulnerabilities, including software flaws, hardware limitations, and network weaknesses. The chapter emphasizes the necessity of identifying and understanding these vulnerabilities to safeguard the digital transformation enabled by the cloud-to-things continuum. A detailed examination of various methodologies for vulnerability discovery is presented, considering both automated and manual approaches, while illustrating the role of specialized tools and testbeds in identifying potential security gaps. The discussion extends to analyzing and classifying vulnerabilities, underscoring the importance of assessing their severity and impact through standardized frameworks, such as the common vulnerabilities and exposures (CVE) system. We discuss effective strategies for managing these vulnerabilities through models and practices for continuous monitoring, regular updates, and patch management. Typical case studies in diverse sectors, such as healthcare, smart cities, and industrial IoT, are presented to illustrate the practical challenges and solutions in IoT-cloud security, offering insights into both the detection and resolution of security issues. We conclude with an outlook on future trends and challenges, reflecting on the dynamic nature of IoT-cloud vulnerabilities and the evolving cybersecurity landscape. We show the need for adaptive and anticipative security strategies to address emerging threats and maintain the trustworthiness in IoT-cloud ecosystems.

ISBN

9780443222177

Publisher

Elsevier

First Page

253

Last Page

276

Disciplines

Computer Sciences

Keywords

IoT vulnerabilities, cloud security, vulnerability discovery, cybersecurity, patch management

Indexed in Scopus

no

Open Access

no

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