Research Landscape of Patterns and Architectures for IoT Security: A Systematic Review

Rajmohan, Tanusan; Nguyen, Phu H.; Ferry, Nicolas

doi:10.1109/seaa51224.2020.00079

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…It is reasonable that conference papers tend to be published more often and quickly. But, we also see that the number of journal papers has increased since our last study (Rajmohan et al 2020). We do, however, believe and encourage a continued increase of journal papers around this topic.…”

Section: High-level Statistics (Rq1)mentioning

confidence: 57%

A decade of research on patterns and architectures for IoT security

2022

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Security of the Internet of Things (IoT)-based Smart Systems involving sensors, actuators and distributed control loop is of paramount importance but very difficult to address. Security patterns consist of domain-independent time-proven security knowledge and expertise. How are they useful for developing secure IoT-based smart systems? Are there architectures that support IoT security? We aim to systematically review the research work published on patterns and architectures for IoT security (and privacy). Then, we want to provide an analysis on that research landscape to answer our research questions. We follow the well-known guidelines for conducting systematic literature reviews. From thousands of candidate papers initially found in our search process, we have systematically distinguished and analyzed thirty-six (36) papers that have been peer-reviewed and published around patterns and architectures for IoT security and privacy in the last decade (January 2010–December 2020). Our analysis shows that there is a rise in the number of publications tending to patterns and architectures for IoT security in the last three years. We have not seen any approach of applying systematically architectures and patterns together that can address security (and privacy) concerns not only at the architectural level, but also at the network or IoT devices level. We also explored how the research contributions in the primary studies handle the different issues from the OWASP Internet of Things (IoT) top ten vulnerabilities list. Finally, we discuss the current gaps in this research area and how to fill in the gaps for promoting the utilization of patterns for IoT security and privacy by design.

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Section: High-level Statistics (Rq1)mentioning

confidence: 57%