مشاهده مشخصات مقاله
Two Effective Anomaly Correction Methods in Embedded Systems
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نویسنده (ها) |
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Roghayeh Mojarad
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Hamid R. Zarandi
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مربوط به کنفرانس |
سمپوزیوم سیستمها و فنآوریهای بیدرنگ و نهفته RTEST 2015 |
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چکیده |
In this paper, two anomaly correction methods are proposed which are based on Markov and Stide detection methods. Both methods consist of three steps: 1) Training, 2) Anomaly detection and 3) Anomaly Correction. In training step, the Morkov-based method constructs a transition matrix; Stide-based method makes a database by events with their frequency. In detection step, when the probability of transition from previous event to current event does not reach a predefined threshold, the morkov-based method detects an anomaly. While, if frequency of unmatched events exceeds from the threshold value, Stide-based method determined an anomaly. In the correction step, the methods check the defined constraints for each anomalous event to find source of anomaly and a suitable way to correct the anomalous event. Evaluation of the proposed methods are done using a total of 7000 data sets. The window size of corrector and the number of injected anomalies varied between 3 and 5, 1 and 7, respectively. The experiments have been done to measure the correction coverage rate for Markov-based and Stide-based methods which are on average 77.66% and 60.9%, respectively. Area consumptions in Makov-based and Stide-based methods are on average 415.48µm2and 239.61 µm2, respectively. |
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قیمت |
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