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.

Highlights

  • Introduction and BackgroundThe Internet of Things (IoT) market is predicted to grow from an installed base of 20 billion devices in 2017, to 30.7 billion devices in 2020 and 75.4 billion in 2025 [1,2,3]

  • Applications, for e.g., when it comes to the smart home, there are still a number of devices, such as: gateway/hub that feature a closed ecosystem or with some proprietary standards and Application Programming Interfaces (APIs) [33], whereas most of them are closed when considered from an industrial-based IoT systems [34]

  • Our study shows that there is a need for continuous security thinking in terms of awareness, assessment and challenges that are new dimensions for security in IoT ecosystems

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Summary

Introduction

Introduction and BackgroundThe Internet of Things (IoT) market is predicted to grow from an installed base of 20 billion devices in 2017, to 30.7 billion devices in 2020 and 75.4 billion in 2025 [1,2,3]. Within less than a decade, a new infrastructure for online sociality and creativity has emerged, which forms a new layer of the digital infrastructure, through which people have started to organize their lives. Such infrastructures are becoming new digital ecosystems where different platforms and devices influence human action and interaction not always with the best output [4]. Proprietary technologies, e.g., industry standards for communication, have been extensively deployed throughout multiple IoT systems and devices, and often they are closed and fragmented [5,6]. Fragmentation exists, as it is challenging to maintain platform

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