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CLARIFYING TRUST IN SOCIAL
INTERNET OF THINGS
By Aditya Nath
MEANING OF ‘SOCIAL’
• Internet of Things
• More connections  Increased smartness
• Turn towards Social approach
• Example
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
THE FIVE ASPECTS OF TRUST AMONG
SOCIAL IOT
• Mutuality of Trust
• Inferential Task Trust Transfer
• Transitivity of Trust
• Trustworthiness Update based on previous results
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.
BIDIRECTIONAL TRUST MODEL
INFERENTIAL TRANSFER OF TRUST IN
TRUST MODEL
GPS
Satellite Image
Real Time Traffic
Alice Brad
TRANSITIVITY IN TRUST MODEL
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.
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.
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.
QUESTIONS
• Describe the inferential trustworthiness of task among two participants.
• Give the difference between transitivity of trust and inferential transfer
of trust.

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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
  • 9.
  • 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.