Clarifying trust model in Social Internet of Things
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The document discusses trust in the Social Internet of Things (SIoT) and highlights a trust model emphasizing mutual trustworthiness, decision-making, and the importance of trust dynamics among IoT devices. It presents an experimental setup involving different IoT device groups to evaluate trust strategies and their impact on decision-making and cost efficiency. The conclusion underscores that the proposed trust model isolates malicious behavior and enhances user adaptability and profit in dynamic environments.
Clarifying trust model in Social Internet of Things
- 1. CLARIFYING TRUST IN SOCIAL INTERNET OF THINGS By Aditya Nath
- 2. MEANING OF ‘SOCIAL’ • Internet of Things • More connections Increased smartness • Turn towards Social approach • Example
- 3. GENERAL TRUST MODEL Trustor Trustee Goal 1. Mutual Trustworthiness 2. Decision making Action Expected result. No malicious use of resources. Increased trust Unexpected result Damage to the output Cost of operation Context
- 4. THE FIVE ASPECTS OF TRUST AMONG SOCIAL IOT • Mutuality of Trust • Inferential Task Trust Transfer • Transitivity of Trust • Trustworthiness Update based on previous results
- 5. EXPERIMENT SETUP • 5 groups of IoT devices, each comprising of: • 2 Trustors • 2 Honest Trustees • 2 Dishonest Trustees • A coordinating machine – receives data from every group and relays it to the host machine. • Network model chosen from Facebook, Google+ and Twitter. • Dataset contains user profile and respective user circle.
- 7. INFERENTIAL TRANSFER OF TRUST IN TRUST MODEL GPS Satellite Image Real Time Traffic Alice Brad
- 8. TRANSITIVITY IN TRUST MODEL
- 10. TRUSTWORTHINESS WITH PREVIOUS DELEGATION RESULTS Trustor is tasked with finding the right trustee based on two strategies: • Evaluate the success rate of each of its registered trustee and delegate task. • Evaluate the gain, damage and cost of each trustee before delegating task.
- 11. CONCLUSION • The proposed methods of interaction also increase the net profits of the users and make network agents quickly adapt to a changing environment. • Malicious behavior is isolated according to this model • Finally, the calculation of the trustworthiness in our model considers the dynamic environment.
- 12. REFERENCES • Zhiting Lin, Liang Dong, “Clarifying Trust in Social Internet of Things”, IEEE Transactions on Knowledge and Data Engineering, Volume: 30 , Issue: 2 , Feb. 1 2018 • L. Atzori, A. Iera, G. Morabito, and M. Nitti, “The social Internet of Things (SIoT)—when social networks meet the Internet of Things: Concept, architecture and network characterization,” Comput. Netw., vol. 56, no. 16, pp. 3594–3608, Nov. 2012. • L. Atzori, A. Iera, and G. Morabito, “From “smart objects” to “social objects”: The next evolutionary step of the Internet of Things,” IEEE Commun. Mag., vol. 52, no. 1, pp. 97– 105, Jan. 2014. • M. Nitti, L. Atzori, and I. P. Cvijikj, “Friendship selection in the social Internet of Things: Challenges and possible strategies,” IEEE Internet Things J., vol. 2, no. 3, pp. 240–247, Jun. 2015. • Z. Yan, P. Zhang, and A. V. Vasilakos, “A survey on trust management for Internet of Things,” J. Netw. Comput. Appl., vol. 42, pp. 120–134, Jun. 2014.
- 13. QUESTIONS • Describe the inferential trustworthiness of task among two participants. • Give the difference between transitivity of trust and inferential transfer of trust.