A Benchmark of Security Metrics in Cyber-Physical Systems
Title | A Benchmark of Security Metrics in Cyber-Physical Systems |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Aigner, A., Khelil, A. |
Conference Name | 2020 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) |
Date Published | June 2020 |
Publisher | IEEE |
ISBN Number | 978-1-7281-1062-2 |
Keywords | benchmark, Benchmark testing, Conferences, Cyber-physical systems, Cyberspace, Measurement, Metrics, metrics testing, process control, pubcrawl, security, security analysis, security metrics, system security, System-of-Systems |
Abstract | The usage of connected devices and their role within our daily- and business life gains more and more impact. In addition, various derivations of Cyber-Physical Systems (CPS) reach new business fields, like smart healthcare or Industry 4.0. Although these systems do bring many advantages for users by extending the overall functionality of existing systems, they come with several challenges, especially for system engineers and architects. One key challenge consists in achieving a sufficiently high level of security within the CPS environment, as sensitive data or safety-critical functions are often integral parts of CPS. Being system of systems (SoS), CPS complexity, unpredictability and heterogeneity complicate analyzing the overall level of security, as well as providing a way to detect ongoing attacks. Usually, security metrics and frameworks provide an effective tool to measure the level of security of a given component or system. Although several comprehensive surveys exist, an assessment of the effectiveness of the existing solutions for CPS environments is insufficiently investigated in literature. In this work, we address this gap by benchmarking a carefully selected variety of existing security metrics in terms of their usability for CPS. Accordingly, we pinpoint critical CPS challenges and qualitatively assess the effectiveness of the existing metrics for CPS systems. |
URL | https://ieeexplore.ieee.org/document/9149779 |
DOI | 10.1109/SECONWorkshops50264.2020.9149779 |
Citation Key | aigner_benchmark_2020 |