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Preserving Privacy Through Intelligent Generation of Fake Events in Smart Homes

Zakerzadeh, Nooshin | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57093 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Amini, Morteza
  7. Abstract:
  8. Recently, the use of the Internet of Things (IoT) to enhance various environments has gained significant attention. With this technology's expansion into the realm of smart homes, IoT platforms have received considerable interest. These platforms help users implement automation rules by connecting a variety of smart devices and service providers. However, these platforms also have access to users' sensitive data, which could lead to privacy violations; this is because the data sent to the platform could be exploited by an attacker to extract patterns of user behavior. Current IoT platforms lack adequate measures to preserve user privacy, and furthermore, these platforms are not universally trusted by users. As a result, privacy maintenance has emerged as a major concern in this area. Prior research on preserving the privacy of smart home users has revealed significant deficiencies, such as a weak threat model, the need for infrastructural modifications in IoT platform architectures and service provider collaboration, inefficient execution of IoT applications, and a failure to consider data correlations. This study presents three solutions to ensure the privacy of smart home users. The first proposed solution involves using adversarial example attacks to alter user behavior (without creating anomalies). The results show that this approach can decrease the accuracy of an attacker's classifier from 96.57% to 48.81%. The other two solutions involve creating fictitious users and simulating their activities alongside the real user's activities, or generating fake activities for the real user, parallel to their actual activities. These methods lead to the anonymity of the real user's activities. The benefits of these solutions include eliminating the need for changes in platform components or service provider involvement, preserving the platform's and IoT applications' usability, customizing privacy levels to user preferences, and preserving privacy at the behavioral level
  9. Keywords:
  10. Internet of Things ; Smart Home ; Privacy ; Things Internet Platform ; User Behavior ; Privacy Preserving

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