| Full text | |
| Author(s): |
Horstmann, Leonardo Passig
;
Frohlich, Antonio Augusto
;
IEEE
Total Authors: 3
|
| Document type: | Journal article |
| Source: | 2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA); v. N/A, p. 8-pg., 2022-01-01. |
| Abstract | |
In this paper, we address the problem of intrusion detection in multicore embedded systems through a self-nonself discrimination scheme based on Artificial Immune Systems. We collect runtime data to build a model in which the T-cells work as detectors for the system's sane behavior. The T-cells are represented by N-dimensional data points composed of samples of the N variables monitored during model building. A pre-established binding threshold is used for the T-cells generation. The difference between data points is measured as the distance between them. While training, whenever a collected sample fails to bind to an existing T-cell, it becomes a new one. After training, the threshold is adjusted to the maximum distance observed in the model. Therefore, the model definition follows an iterative clustering algorithm where each T-cell is a cluster centroid with threshold as the radius. Nonself detection consists of comparing collected samples to the T-cells in the model through a cluster membership verification. Whenever the incoming sample is not a member of any of the clusters, the sample is classified as nonself. A time complexity analysis indicates the suitability of the proposed technique for runtime operation, and offline experiments show this approach achieved a 97:17% non-self detection rate. (AU) | |
| FAPESP's process: | 20/05142-1 - Secure industrial IoT gateway |
| Grantee: | Antônio Augusto Medeiros Fröhlich |
| Support Opportunities: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 21/02385-3 - Machine Learning and Performance Monitoring for Integrity Checking in IIoT Gateways |
| Grantee: | Leonardo Passig Horstmann |
| Support Opportunities: | Scholarships in Brazil - Technical Training Program - Technical Training |