A System to Ensure Robust, Honest Reporting of Sensor Data

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dc.contributor.advisorReardon, Joel
dc.contributor.authorMuhtasim, Md. Adib
dc.contributor.committeememberBarker, Ken E.
dc.contributor.committeememberYanushkevich, Svetlana N.
dc.date2020-11
dc.date.accessioned2020-09-30T18:21:46Z
dc.date.available2020-09-30T18:21:46Z
dc.date.issued2020-09-25
dc.description.abstractDue to the advancement of modern technologies, most systems and devices have become increasingly more sophisticated and autonomous. As these systems and their associated sensors are becoming an indispensable part of our lives, the question about the integrity of their reported data arises. Different parties have the incentive to modify the data of these systems and their associated sensors, particularly in the event of an accident or if they are being monitored or audited. If these systems are monitored all the time, then their privacy is invaded, and if they are not being monitored or audited at all, then they can get away with anything by providing false or incorrect information as there is no way to verify it. To overcome these challenges, we propose a monitoring and auditing system that prevents a system or a sensor from modifying its data while retaining the privacy of the monitored entity. As a proof of concept, our proposed system ensures robust, honest reporting of system or sensor data. Our monitoring and auditing system is mainly comprised of a private blockchain and a compliance checking system. We follow a two-step auditing process to ensure the integrity of the monitored system’s or sensor’s data. Any entity which is altering its data is caught in our system. We implement our proposed model to monitor and audit autonomous vehicles in the CARLA driving simulator environment to imitate real-world scenarios. To validate the efficiency and feasibility of our system, besides monitoring and auditing these entities, we also measure and analyze how long it takes for our system to catch a cheater entity and predict how much network traffic it has to handle in a real-world implementation and show how the audit frequency will impact the data storage in a large-scale implementation.en_US
dc.identifier.citationMuhtasim, M. A. (2020). A System to Ensure Robust, Honest Reporting of Sensor Data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38309
dc.identifier.urihttp://hdl.handle.net/1880/112650
dc.language.isoengen_US
dc.publisher.facultyScienceen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectBlockchainen_US
dc.subjectEnivironmental Situation Oraclesen_US
dc.subjectMonitoring and auditing systemen_US
dc.subjectPrivacyen_US
dc.subjectCARLAen_US
dc.subject.classificationComputer Scienceen_US
dc.titleA System to Ensure Robust, Honest Reporting of Sensor Dataen_US
dc.typemaster thesisen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
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