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Improve Privacy in Trust Management

Fath Fathabadi, Zohreh | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44046 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin
  7. Abstract:
  8. Today, with the widespread use of decentralized systems, many people interact with each other and this interaction can endanger their safety. Therefore, the strategy should be to keep people safe. Interaction with a trusted and highly recommended people is essential and this is considered the first step toward security. Privacy preserving is critical in Successful operation of reputation system, in other words, the trust value should not be available. This method can prevent from positive and negative feedback of people because one person (may be due to personal animosity or to lack of commitment or person discomfort) can manipulate the trust value. For this reason, the trust value should be calculated so that the amount of trust between two people who are cooperating in trust calculation to be secured. In this thesis, we propose the approach for secure multiplicaion and addition computation because these arithmetic operations are widely used in trust computation formula. One of the most important attacks that can breach the privacy in trust model is collusion attack. In this thesis, with regard the performance, we propose approach that can resist in collusion attack. In other words, multiplicaion and addition computation is carried out in such a way that None of those able to help others gain the trust value with collusion. In proposed approach, we use data perturbation technique and homomorphic encryption to preserve privacy in trust models that when compared to other approaches the time complexity of it is lower and resistance of it higher
  9. Keywords:
  10. Hommorphic Encryption ; Trust Management ; Median Nodes Collusion ; Data Perturbation

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