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Trust Models in Wireless Sensor Networks and Online Social Networks: A Comparative Study

IEEE MISENET 2014. Trust Models in Wireless Sensor Networks and Online Social Networks: A Comparative Study. Authors: Wenjun Jiang a , Jie Wu b Presenter: Huanyang Zheng b a Hunan University, P. R. China b Temple University, USA. Philadelphia, PA, USA. 2014.10.27. Validation Approaches.

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Trust Models in Wireless Sensor Networks and Online Social Networks: A Comparative Study

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  1. IEEE MISENET 2014 Trust Models in Wireless Sensor Networks and Online Social Networks: AComparative Study Authors: Wenjun Jianga, Jie Wub Presenter: Huanyang Zhengb aHunan University, P. R. China bTemple University, USA Philadelphia, PA, USA. 2014.10.27

  2. Validation Approaches Discussion & Conclusion Background Trust Models in WSNS and OSNS Motivation Features of WSNS and OSNS Outline Trust Management in WSNs and OSNs 2014-10-27 2

  3. Background • Wireless sensor network (WSN) • A new paradigm designing fault-tolerant mission critical systems used to enable varied applications like threat detection, environmental monitoring, etc. • Online social networks (OSNs) • Provide a basis for maintaining social relationships • Security • One of the most important topics in both WSNs and OSNs, for which trust management is found to be a necessity Trust Management in WSNs and OSNs 2014-10-27 3

  4. Trust management Motivation • We try to conduct a comparative study • As to better understand trust models and their effects on different network environments. Trust Management in WSNs and OSNs 2014-10-27 4

  5. Construction The components Structure Typical network structures Trust and trust management The meaning of trust and how to manage trust Features of WSNS and OSNS Trust Management in WSNs and OSNs 2014-10-27 5

  6. Construction Composed with several sensors that are usually small, with low cost and low power The nodes are physically accessible by other people, which leads to the risk of exposure to cryptographic materials. Features of WSNS Trust Management in WSNs and OSNs 2014-10-27 6

  7. Structure Sink node, Internet, Task manager node Clustering Features of WSNS Trust Management in WSNs and OSNs 2014-10-27 7

  8. Trust A level of assurance about a key’s authenticity that would be provided to the sensor node by some centralized trusted body. A measure of a node’s competence in providing a required service Trust management More challenging than in OSNs Changes in the topology induced by node mobility or node failure Resource limitations Features of WSNS Trust Management in WSNs and OSNs 2014-10-27 8

  9. Construction Organized around users. Larger scale Features of OSNS Trust Management in WSNs and OSNs 2014-10-27 9

  10. Structure Small world Clustering Short distance Features of OSNS Trust Management in WSNs and OSNs 2014-10-27 10

  11. Trust Trust in a person is a commitment to an action, based on a belief that the future actions of that person will lead to a good outcome Trust management No resource limitation Focuses more on the accuracy and real effects Features of OSNS Trust Management in WSNs and OSNs 2014-10-27 11

  12. RFSN provides a scalable, diverse, and generalized approach for countering all types of misbehavior resulting from malicious and faulty nodes ATRM manage trust and reputation locally with minimal overhead in terms of extra messages and time delay. Trust Models in WSNs Trust Management in WSNs and OSNs 2014-10-27 12

  13. PLUS each sensor node maintains highly abstracted parameters, rates the trustworthiness of its interested neighbors to adopt appropriate cryptographic methods, identifies the malicious nodes, and shares the opinion locally. GTMS works on two topologies: intragroup topology and intergroup topology Trust Models in WSNs (Con't) Trust Management in WSNs and OSNs 2014-10-27 13

  14. Observation pay special attention to the resource overhead Trust Models in WSNs (Con't) Trust Management in WSNs and OSNs 2014-10-27 14

  15. RN-Trust emulates a trusted graph with a resistive network FlowTrust apply network flow theory to trust evaluation use the trust value and confidence level as two trust factors Trust Models in OSNs Trust Management in WSNs and OSNs 2014-10-27 15

  16. SWTrust Generating small trusted graphs for large OSNs TidalTrust Using the shortest, strongest trusted paths Trust Models in OSNs (Con't) • Observation • Focus is mainly on the interpretation of trust itself, including evidence collection and aggregation Trust Management in WSNs and OSNs 2014-10-27 16

  17. WSN Simulation to save costs Several simulators are developed E.g., SENSE, OPNET, TRMSim-WSN, SensorMaker OSN Feedback Leave-one-out Real social network data sets E.g., Epinions (www.epinions.com), Advogato (www.advogato.org), etc. Validation Approaches Trust Management in WSNs and OSNs 2014-10-27 17

  18. Common features Time sensitivity and dynamic topology Efficiency requirement Validation requirement Learn from each other Could we collect some real world data sets for WSNs? Could we develop simulators for OSNs? Discussion Trust Management in WSNs and OSNs 2014-10-27 18

  19. We present a comparative study of trust models in WSNs and OSNs. Provide a comparison of the features of WSNs and OSNs. Review and compare existing trust models in the literature. Analyze the common features of trust models in WSNs and OSNs, and conduct some discussion on how to enhance the trust management in a network by learning from the other type. Conclusion Trust Management in WSNs and OSNs 2014-10-27 19

  20. Thank you for your attention! E-mail: wenjj8a@163.com; Jiewu@temple.edu Trust Management in WSNs and OSNs 2014-10-27 20

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