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Improving Remote Attestation Techniques for IoT Devices using Physical Model

Salehi, Mohsen | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 53245 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Bayat Sarmadi, Siavash
  7. Abstract:
  8. Due to the widespread growth in the use of IoT devices, authors consider these devices as an attractive target platform. Several approaches have been proposed to defend IoT devices against various attacks. However, most of them suffer from some shortcomings such as being computationally expensive, not being general, or not being robust enough.Due to the attacks such as firmware modification and the existence of computational limitations, the use of local approaches is inefficient. Another approach is to use remote attestation techniques, which are divided into two categories, static and dynamic. However, static detection techniques are vulnerable to runtime attacks. Furthermore, existing dynamic techniques are in the need to change the program code or require expensive hardware. In this thesis, we propose a mitigation method that combines a dynamic remote attestation technique with a physics-based model to preserve the control behavior integrity of ICS. Actually, we propose a behavior-based technique that identifies program behavior as abnormal or normal based on stored measurements and physical model.Using real-world dataset (31901 normal behaviors and 138 abnormal behaviors), we show that the proposed approach can model ICS physical behavior with accuracy as high as 98%. We evaluate the effectiveness of the proposed approach using this dataset, and we show that it can detect 99% of abnormal behaviors with few false alarms
  9. Keywords:
  10. Internet of Things ; Behavior-Based Control ; Remote Attestation ; Industrial Control System ; Behavior-Based Detection

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