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Encrypted Image Classification for Improving the Security of Cloud-Based Intelligent Transportation Systems

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dc.contributor.advisor Muresan, Radu
dc.contributor.advisor Al-Dweik, Arafat
dc.contributor.author Lidkea, Viktor
dc.date.accessioned 2019-09-20T13:30:16Z
dc.date.available 2019-09-20T13:30:16Z
dc.date.copyright 2019-09-06
dc.date.created 2019-09-06
dc.date.issued 2019-09-20
dc.identifier.uri http://hdl.handle.net/10214/17479
dc.description.abstract Cloud computing technology is integral to the advancement of intelligent transportation systems. Integrating cloud computing into intelligent transportation systems needs to proceed with caution however, as cloud computing introduces new layers of security risks. As intelligent transportation systems generally rely on captured images of private citizens, security of these images is paramount. In this thesis, we propose an efficient system for improving the security of a cloud-based intelligent transportation system built with road side units, and a data collection and analysis server. A convolutional neural network is used to classify encrypted images obtained by roadside units based on the type of vehicle on the road in real-time, leaving personal information in these images hidden throughout the process. The proposed system never fully decrypts the collected images, thus protecting drivers’ personal information, such as location, license plate, and vehicle contents. As the system never needs to fully decrypt the images, the system increases efficiency compared to a system which fully decrypts the images for analysis. The results show improved computational performance in comparison with a fully decrypting system, while keeping the data secure. en_US
dc.description.sponsorship This research is supported by the Ministry of Transportation Ontario (MTO) Highway Infrastructure Innovation Funding Program (HIIFP) grant No. 051938. The authors of this paper thank the MTO for their support. en_US
dc.language.iso en en_US
dc.subject Intelligent Transportation System en_US
dc.subject Cloud Network en_US
dc.subject Cloud Computing en_US
dc.subject Convolutional Neural Network en_US
dc.subject Encryption en_US
dc.subject Encrypted Image Classification en_US
dc.subject Image Classification en_US
dc.title Encrypted Image Classification for Improving the Security of Cloud-Based Intelligent Transportation Systems en_US
dc.type Thesis en_US
dc.degree.programme Engineering en_US
dc.degree.name Master of Applied Science en_US
dc.degree.department School of Engineering en_US
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