CRSYSep 19, 2021

Architecture and Its Vulnerabilities in Smart-Lighting Systems

arXiv:2109.09171v17 citations
Originality Synthesis-oriented
AI Analysis

This addresses security concerns in smart-lighting systems, which is an incremental contribution to securing IoT-based industrial applications.

The paper tackles security vulnerabilities in smart-lighting systems by developing a layer-based offline analysis approach, deriving potential attacks and suggesting countermeasures for multi-domain threats.

Industry 4.0 embodies one of the significant technological changes of this decade. Cyber-physical systems and the Internet Of Things are two central technologies in this change that embed or connect with sensors and actuators and interact with the physical environment. However, such systems-of-systems undergo additional restrictions in an endeavor to maintain reliability and security when building and interconnecting components to a heterogeneous, multi-domain \textit{Smart-*} systems architecture. This paper presents an application-specific, layer-based approach to an offline security analysis inspired by design science that merges preceding expertise from relevant domains. With the example of a Smart-lighting system, we create a dedicated unified taxonomy for the use case and analyze its distributed Smart-* architecture by multiple layer-based models. We derive potential attacks from the system specifications in an iterative and incremental process and discuss resulting threats and vulnerabilities. Finally, we suggest immediate countermeasures for the latter potential multiple-domain security concerns.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes