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Real-Time Scheduling for Preventing Information Leakage with Preemption OverheadsBAEK, H. , LEE, J. , LEE, J. , KIM, P. , KANG, B. B. |
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Author keywords
embedded software, real-time systems, scheduling algorithms, security, system analysis and design
References keywords
time(53), systems(51), real(48), scheduling(19), security(15), analysis(13), embedded(9), tasks(6), task(6), rtss(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2017-05-31
Volume 17, Issue 2, Year 2017, On page(s): 123 - 132
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.02016
Web of Science Accession Number: 000405378100016
SCOPUS ID: 85020105673
Abstract
Real-time systems (RTS) are characterized by tasks executing in a timely manner to meet its deadlines as a real-time constraint. Most studies of RTS have focused on these criteria as primary design points. However, recent increases in security threats to various real-time systems have shown that enhanced security support must be included as an important design point, retro-fitting such support to existing systems as necessary. In this paper, we propose a new pre-flush technique referred to as flush task reservation for FP scheduling (FTR-FP) to conditionally sanitize the state of resources shared by real-time tasks by invoking a flush task (FT) in order to mitigate information leakage/corruption of real-time systems. FTR-FP extends existing works exploiting FTs to be applicable more general scheduling algorithms and security model. We also propose modifications to existing real-time scheduling algorithms to implement a pre-flush technique as a security constraint, and analysis technique to verify schedulability of the real-time scheduling. For better analytic capability, our analysis technique provides a count of the precise number of preemptions that a task experiences offline. Our evaluation results demonstrate that our proposed schedulability analysis improves the performance of existing scheduling algorithms in terms of schedulability and preemption cost. |
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