| Title | A Scoring System to Efficiently Measure Security in Cyber-Physical Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Aigner, Andreas, Khelil, Abdelmajid |
| Conference Name | 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) |
| Date Published | Jan. 2021 |
| Publisher | IEEE |
| ISBN Number | 978-1-6654-0392-4 |
| Keywords | Complexity theory, Computing Theory, Cyber-physical systems, Internet of Things, Measurement, Metrics, privacy, pubcrawl, Refining, Scalability, security, security analysis, security engineering, security metric, security metrics, Security Scoring, threat analysis |
| Abstract | The importance of Cyber-Physical Systems (CPS) gains more and more weight in our daily business and private life. Although CPS build the backbone for major trends, like Industry 4.0 and connected vehicles, they also propose many new challenges. One major challenge can be found in achieving a high level of security within such highly connected environments, in which an unpredictable number of heterogeneous systems with often-distinctive characteristics interact with each other. In order to develop high-level security solutions, system designers must eventually know the current level of security of their specification. To this end, security metrics and scoring frameworks are essential, as they quantitatively express security of a given design or system. However, existing solutions may not be able to handle the proposed challenges of CPS, as they mainly focus on one particular system and one specific attack. Therefore, we aim to elaborate a security scoring mechanism, which can efficiently be used in CPS, while considering all essential information. We break down each system within the CPS into its core functional blocks and analyze a variety of attacks in terms of exploitability, scalability of attacks, as well as potential harm to targeted assets. With this approach, we get an overall assessment of security for the whole CPS, as it integrates the security-state of all interacting systems. This allows handling the presented complexity in CPS in a more efficient way, than existing solutions. |
| URL | https://ieeexplore.ieee.org/document/9343243 |
| DOI | 10.1109/TrustCom50675.2020.00151 |
| Citation Key | aigner_scoring_2020 |
A Scoring System to Efficiently Measure Security in Cyber-Physical Systems