Security-Cognizant Real-Time Scheduling
Security-Cognizant Real-Time Scheduling
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DOI：
10.1109/isorc52572.2022.9812766
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发表时间：
2022-05
期刊：
影响因子：
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通讯作者：
Sanjoy Baruah
中科院分区：
文献类型：
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作者：
Sanjoy Baruah
资源受限的安全关键嵌入式系统（如无人机）的计算能力通常非常有限，必须仔细管理，以便它们可以提供预期的增强功能。这样的系统正日益成为黑客攻击的目标，因此，有一个实时的资源分配技术，抵抗这种攻击的需要增加的认识。为了满足这一需求，我们（一）提出了一个自然的安全认知扩展的零星任务模型，目前广泛使用的实时计算;和（二）开发一个调度算法和相关的可扩展性测试，这个任务模型，保证正确的时间和安全属性。
The often very limited computational capacity available upon resource-constrained safety-critical embedded systems (such as unmanned aerial vehicles) must be carefully managed in order that they may provide the enhanced functionalities expected of them. Such systems are increasingly becoming a target of hacker attacks; hence there is an increased recognition of the need for real-time resource-allocation techniques that are resistant to such attacks. To meet this need we (i) propose a natural security-cognizant extension of the sporadic task model that is currently widely used in real-time computing; and (ii) develop a scheduling algorithm and associated schedulability test for this task model that guarantees correctness of both timing and security properties.