A Study of Security-Protected Task Instruction Identification for Embedded Real-Time Multi-Partitioned Operating Systems
Conventional multi-partition operating system security protection task instruction identification and matching method is generally one-way or single-segment identification, identification efficiency is low, resulting in the final identification of the omission rate increases, in order to put forward the embedded real-time multi-partition operating system security protection task instruction identification method design and practice research. According to the current recognition requirements, the first associated security protection words are extracted, the multi-segment processing method is adopted to improve the recognition efficiency, the multi-segment security protection task instruction matching mechanism is set, the embedded real-time multi-partition operating system security protection task instruction recognition model is constructed, and the interactive verification method is adopted to realize the instruction recognition. The test results show that: combined with the text description of artificial instructions to improve the zero-sample action recognition method, four-wheel drive system of artificial intelligence to enhance the DTC command method, the embedded real-time multi-partition operating system security protection task instruction recognition method designed in this study has a better recognition effect for the security protection instruction, the recognition speed and accuracy is further improved, the overall recognition ability is enhanced, and it has a practical application value. The overall recognition capability is enhanced, which has practical application value.
Authors
- Yunhua Liu (ORCID: https://orcid.org/0000-0003-4693-2391)
- Yang Yang (ORCID: https://orcid.org/0000-0003-4215-5767)
- Shijie Li (ORCID: https://orcid.org/0000-0003-4635-5264)
- Shaohui Du
- Furong Yin
- Zhihan Tan (ORCID: https://orcid.org/0009-0007-0043-6815)
Institutions
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1109/caibda65784.2025.11183531
- Primary Topic
- Real-Time Systems Scheduling
- Type
- article
- Field-Weighted Citation Impact
- 0.00