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.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/caibda65784.2025.11183531
Primary Topic
Real-Time Systems Scheduling
Type
article
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A Study of Security-Protected Task Instruction Identification for Embedded Real-Time Multi-Partitioned Operating Systems

Yunhua Liu, Yang Yang, Shijie Li, Shaohui Du et al.
Real-Time Systems Scheduling
article

A Study of Security-Protected Task Instruction Identification for Embedded Real-Time Multi-Partitioned Operating Systems

Yunhua Liu, Yang Yang, Shijie Li, Shaohui Du, Furong Yin, Zhihan Tan
article en

Abstract

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.

China Southern Power Grid (China) (CN)
Openalex Percentile: Top 69%
Real-Time Systems Scheduling
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A Study of Security-Protected Task Instruction Identification for Embedded Real-Time Multi-Partitioned Operating Systems — Yunhua Liu, Yang Yang, et al. · (2025) | TGRS Research Map | TGRS