Non-intrusive Runtime Monitoring Through Power Consumption: A Signals and System Analysis Approach to Reconstruct the Trace

Moreno, Carlos; Fischmeister, Sebastian

doi:10.1007/978-3-319-46982-9_17

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…In [19] the authors propose similarly a partial reconfiguration of a (soft-core) processor. An external alternative based on a side channel is discussed in [22]. However, a lot of training is required in order to identify specific system behaviour.…”

Section: Contributionmentioning

confidence: 99%

Rapidly Adjustable Non-intrusive Online Monitoring for Multi-core Systems

Decker

Gottschling

Hochberger

et al. 2017

Lecture Notes in Computer Science

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Abstract. This paper presents an approach for rapidly adjustable embedded trace online monitoring of multi-core systems, called RETOM. Today, most commercial multi-core SoCs provide accurate runtime information through an embedded trace unit without affecting program execution. Available debugging solutions can use it to reconstruct the run offline, but usually for up to a few seconds only. RETOM employs a novel online reconstruction technique that makes the program run available outside the SoC and allows for evaluating a specification formulated in the stream-based specification language TeSSLa in real time. The necessary computing performance is provided by an FPGA-based event processing system. In contrast to other hardware-based runtime verification techniques, changing the specification requires no circuit synthesis and thus seconds rather than minutes or hours. Therefore, iterated testing and property adjustment during development and debugging becomes feasible while preserving the option of arbitrarily extending observation time, which may be necessary to detect rarely occurring errors. Experiments show the feasibility of the approach.

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Section: Contributionmentioning

confidence: 99%

Rapidly Adjustable Non-intrusive Online Monitoring for Multi-core Systems

Decker

Gottschling

Hochberger

et al. 2017

Lecture Notes in Computer Science

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show abstract

“…In [6] a processor is monitored by synchronizing a second, emulated processor via a dedicated synchronisation interface. In [20] it is described that even side-channels can be used to monitor certain events on a processor.…”

Section: Introductionmentioning

confidence: 99%

Hardware-Based Runtime Verification with Embedded Tracing Units and Stream Processing

Convent

Hungerecker

Scheffel

et al. 2018

Lecture Notes in Computer Science

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In this tutorial, we present a comprehensive approach to nonintrusive monitoring of multi-core processors. Modern multi-core processors come with trace-ports that provide a highly compressed trace of the instructions executed by the processor. We describe how these compressed traces can be used to reconstruct the actual control flow trace executed by the program running on the processor and to carry out analyses on the control flow trace in real time using FPGAs. We further give an introduction to the temporal stream-based specification language TeSSLa and show how it can be used to specify typical constraints of a cyber-physical system from the railway domain. Finally, we describe how lightweight , hardware-supported instrumentation can be used to enrich the control-flow trace with data values from the application.

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“…In [2,3], Moreno et al showed a technique for non-intrusive program tracing and debugging through power side channel analysis where they use the power consumption characteristics of the MCU to identify blocks of code being executed. In [4], they improve performance through a compiler-assisted stage that maximizes distinguishability of traces for different blocks of code.…”

Section: Related Workmentioning

confidence: 99%

Non-intrusive program tracing of non-preemptive multitasking systems using power consumption

Lamichhane

Moreno

Fischmeister

2018

2018 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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Hardware setup used in chapter 3 for data capture were contributed by Carlos Moreno, who also contributed his ideas, reviews, and suggestions. All the work presented in this thesis were completed under the supervision of Professor Sebastian Fischmeister in the ECE department at the University of Waterloo, who contributed with his ideas, reviews, and suggestions.iii Abstract System tracing, runtime monitoring, execution reconstruction are useful techniques for protecting the safety and integrity of systems. Furthermore, with time-aware or overheadaware techniques being available, these techniques can also be used to monitor and secure production systems. As operating systems gain in popularity, even in deeply embedded systems, these techniques face the challenge to support multi-tasking.In this thesis, we propose a novel non-intrusive technique, which efficiently reconstructs the execution trace of non-preemptive multitasking system by observing power consumption characteristics. Our technique uses the Control flow Graph (CFG) of the application program to identify the most likely block of code that the system is executing at any given point in time. For the purpose of the experimental evaluation, we first instrument the source code to obtain power consumption information of each Basic Block (BB), which is used as the training data for our Dynamic Time Warping (DTW) and k-Nearest Neighbors (k-NN) classifier. Once the system is trained, this technique is used to identify live code-block execution (LCBE). We show that the technique can reconstruct the execution flow of programs in a multi-tasking environment with high accuracy. To aid the classification process, we analyze eight widely used machine learning algorithms with time-series power-traces data and show the comparison of time and computational resources for all the algorithms. iv Acknowledgements Past twenty-eight months has been a period of intense learning for me, not only in the area of my research but also on a personal level. I would like to extend my gratitude to the people who have supported me throughout this period.First and foremost I would like to express my gratitude to my supervisor Dr. Sebastian Fischmeister for his continuous guidance, inspiration, suggestions, and all the opportunitites I was given. Thank you for believing in me.Secondly, I would like to extend my words of sincere appreciation to Dr. Carlos Moreno who has provided excellent guidance and support throughout this period. Big thanks!! to you for your patience; it was a great honor and a tremendous learning opportunity working with you.

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Non-intrusive Runtime Monitoring Through Power Consumption: A Signals and System Analysis Approach to Reconstruct the Trace

Cited by 4 publications

References 14 publications

Rapidly Adjustable Non-intrusive Online Monitoring for Multi-core Systems

Rapidly Adjustable Non-intrusive Online Monitoring for Multi-core Systems

Hardware-Based Runtime Verification with Embedded Tracing Units and Stream Processing

Non-intrusive program tracing of non-preemptive multitasking systems using power consumption

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