CSAI-4-CPS: A Cyber Security characterization model based on Artificial Intelligence For Cyber Physical Systems

被引:1
|
作者
Silva, Hebert de Oliveira [1 ]
机构
[1] Univ Estadual Campinas, UNICAMP, Sch Technol FT, Limeira, Brazil
来源
52ND ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS SUPPLEMENTAL VOLUME (DSN-S 2022) | 2022年
关键词
Cybersecurity; Artificial Intelligence; Machine Learning; Federating Learning; Cyber-Physical Systems;
D O I
10.1109/DSN-S54099.2022.00032
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:47 / 48
页数:2
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