2021/09/19 by Florian Hofer, Barbara Russo, Hofer, Florian +1
Computer Science · Engineering · #Advanced Malware Detection Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Electrical engineering #Physical Unclonable Functions (PUFs) and Hardware Security #Smart Grid Security and Resilience #Systems and Control (eess.SY) #cs.CR #cs.SY #eess.SY #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2109.09171
12 pages, 4 figures, and 4 tables
arxiv created 2021/09/19 · openalex publication_date 2021/09/19 · arxiv updated 2021/09/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 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.