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Helping novice developers harness security issues in cloud-IoT systems

Fulvio Corno, Luigi De Russis, Luca Mannella

2022Journal of Reliable Intelligent Environments13 citationsDOIOpen Access PDF

Abstract

Abstract The 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.

Topics & Concepts

Cloud computingComputer scienceComputer securityInternet of ThingsCloud computing securityImplementationContext (archaeology)Process (computing)Set (abstract data type)World Wide WebSoftware engineeringOperating systemProgramming languageBiologyPaleontologyIoT and Edge/Fog ComputingAdvanced Malware Detection TechniquesBlockchain Technology Applications and Security
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