Identification of security threats, safety hazards, and interdependencies in industrial edge computing

Abstract

Edge computing provides the means for higher integration and seamless communication in industrial automation. Due to the paradigm's distributed nature, it faces several security threats and safety hazards. This paper presents an adjusted method of combing STRIDE-LM and HAZOP to identify security threats, safety hazards, and interdependencies suitable for edge computing. The method allows a bi-directional identification of m: $n$ interdependencies between threats and hazards. The paper concludes by outlining further research, including identifying possible failure chains, later risk analysis, evaluation, and treatment.