CSAI-4-CPS: A Cyber Security characterization model based on Artificial Intelligence For Cyber Physical Systems
Title | CSAI-4-CPS: A Cyber Security characterization model based on Artificial Intelligence For Cyber Physical Systems |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | de Oliveira Silva, Hebert |
Conference Name | 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S) |
Date Published | jun |
Keywords | artificial intelligence, artificial intelligence security, Collaborative Work, composability, CPS, Cyber-physical systems, cybersecurity, Data models, data privacy, Federating Learning, Human Behavior, learning (artificial intelligence), machine learning, Metrics, privacy, pubcrawl, resilience, Resiliency, Solid modeling |
Abstract | The model called CSAI-4-CPS is proposed to characterize the use of Artificial Intelligence in Cybersecurity applied to the context of CPS - Cyber-Physical Systems. The model aims to establish a methodology being able to self-adapt using shared machine learning models, without incurring the loss of data privacy. The model will be implemented in a generic framework, to assess accuracy across different datasets, taking advantage of the federated learning and machine learning approach. The proposed solution can facilitate the construction of new AI cybersecurity tools and systems for CPS, enabling a better assessment and increasing the level of security/robustness of these systems more efficiently. |
DOI | 10.1109/DSN-S54099.2022.00032 |
Citation Key | de_oliveira_silva_csai-4-cps_2022 |
- data privacy
- Solid modeling
- Resiliency
- resilience
- pubcrawl
- Metrics
- machine learning
- learning (artificial intelligence)
- Human behavior
- Federating Learning
- CPS
- Data models
- Cybersecurity
- cyber-physical systems
- composability
- Collaborative Work
- artificial intelligence security
- Artificial Intelligence
- privacy