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An approach to evaluate trust and reputation of things in a Multi-IoTs scenario

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Abstract

In the past research, trust and reputation have been investigated for communities of people, for organizations and for multi-agent systems. However, in the last few years, things are becoming increasingly relevant in the Internet scenario and, at the same time, increasingly complex. As a matter of fact, the term “Internet of Things” (hereafter, IoT) is becoming more and more common in both the scientific and the technological contexts. But, if a thing can have a profile and a behavior like a human, it is not out of place to extend the concept of trust and reputation to things and to define ad hoc approaches for their computation. In this paper, we investigate trust and reputation of a thing in a Multiple IoTs scenario and we propose a context-aware approach to evaluate them. This task is not immediate because it should consider all the peculiarities of a thing compared to a human and all the specificities of a Multiple IoTs scenario compared to a community of people.

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Notes

  1. This value is obtained by proceeding in the same way as we did for the electronics store in Sect. 5.2.1.

References

  1. Al-Turjman F (2017) Cognitive sensors and IoT: architecture, deployment, and data delivery. CRC Press, Florida, Boca Raton

    Google Scholar 

  2. Al-Turjman F (2017) Information-centric sensor networks for cognitive IoT: an overview. Ann Telecommun 72(1–2):3–18

    Google Scholar 

  3. Al-Turjman F, Alturjman S (2018) Context-sensitive access in industrial internet of things (IIoT) healthcare applications. IEEE Trans Ind Inform 14(6):2736–2744

    Google Scholar 

  4. Alshehri MD, Hussain FK (2019) A fuzzy security protocol for trust management in the internet of things (fuzzy-IoT). Computing 101(7):791–818

    MathSciNet  Google Scholar 

  5. Plageras AP, Psannis KE, Stergiou C, Wang H, Gupta BB (2018) Efficient IoT-based sensor big data collection—processing and analysis in smart buildings. Future Gener Comput Syst 82:349–357

    Google Scholar 

  6. Artz D, Gil Y (2007) A survey of trust in computer science and the semantic web. Web Semant Sci Serv Agents World Wide Web 5(2):58–71

    Google Scholar 

  7. Atzori L, Iera A, Morabito G (2011) SIoT: giving a social structure to the internet of things. IEEE Commun Lett 15(11):1193–1195

    Google Scholar 

  8. Baldassarre G, Lo Giudice P, Musarella L, Ursino D (2018) A paradigm for the cooperation of objects belonging to different IoTs. In: Proceedings of the international database engineering and applications symposium (IDEAS 2018). ACM, Villa San Giovanni, pp 157–164

  9. Baldassarre G, Lo Giudice P, Musarella L, Ursino D (2019) The MIoT paradigm: main features and an “ad hoc” crawler. Future Gener Comput Syst 92:29–42

    Google Scholar 

  10. Bao F, Chen R, Guo J (2013) Scalable, adaptive and survivable trust management for community of interest based internet of things systems. In: Proceedings of the international symposium on autonomous decentralized systems (ISADS’13). IEEE, Mexico City, pp 1–7

  11. Bernstein PA, Madhavan J, Rahm E (2011) Generic schema matching, 10 years later. Proc VLDB Endow 4(11):695–701

    Google Scholar 

  12. Stergiou C, Psannis KE, Gupta BB, Ishibashi Y (2018) Security, privacy and efficiency of sustainable cloud computing for big data and IoT. Sustain Comput Inform Syst 19:174–184

    Google Scholar 

  13. Caverlee J, Liu L, Webb S (2010) The socialtrust framework for trusted social information management: architecture and algorithms. Inf Sci 180(1):95–112

    Google Scholar 

  14. Chen G, Ward BD, Xie C, Li W, Wu Z, Jones J, Franczak M, Antuono P, Li S (2011) Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging. Radiology 259(1):213–221

    Google Scholar 

  15. Chen R, Guo J, Bao F (2016) Trust management for SOA-based IoT and its application to service composition. IEEE Trans Serv Comput 9(3):482–495

    Google Scholar 

  16. Choi HS, Rhee WS (2018) Social based trust management system for resource sharing service. In: Proceedings of international conference on intelligent systems, metaheuristics and swarm intelligence (ISMSI’18). ACM, Phuket, pp 148–152

  17. Concise Oxford Dictionary (2020) https://en.oxforddictionaries.com/. Accessed Sept 2019

  18. De Meo P, Nocera A, Rosaci D, Ursino D (2011) Recommendation of reliable users, social networks and high-quality resources in a social internetworking system. AI Commun 24(1):31–50

    Article  MathSciNet  Google Scholar 

  19. De Meo P, Quattrone G, Terracina G, Ursino D (2006) Integration of XML schemas at various “severity” levels. Inf Syst 31(6):397–434

    Article  Google Scholar 

  20. De Meo P, Quattrone G, Ursino D (2010) A query expansion and user profile enrichment approach to improve the performance of recommender systems operating on a folksonomy. User modeling and user-adapted interaction. J Personal Res (UMUAI) 20(1):41–86

    Google Scholar 

  21. Fortino G, Russo W, Savaglio C, Shen W, Zhou M (2017) Agent-oriented cooperative smart objects: from IoT system design to implementation. IEEE Trans Syst Man Cybern Syst 48(11):1939–1956

    Google Scholar 

  22. Fortino G, Russo W, Savaglio C, Viroli M, Zhou M (2017) Modeling opportunistic IoT services in open IoT ecosystems. In: Proceedings of the workshop “From objects to agents” (WOA’17). Scilla , pp 90–95

  23. Fortino G, Savaglio C, Palau CE, de Puga JS, Ganzha M, Paprzycki M, Montesinos M, Liotta A, Llop M (2018) Towards multi-layer interoperability of heterogeneous IoT platforms: the INTER-IoT approach. Springer, Berlin, pp 199–232

    Google Scholar 

  24. Gambetta D (2000) Can we trust trust? Trust: making and breaking cooperative relations, chapter 13. Blackwell, Oxford, pp 213–237

    Google Scholar 

  25. Garruzzo S, Modafferi S, Rosaci D, Ursino D (2002) X-Compass: an XML agent for supporting user navigation on the web. In: Proceedings of the international conference on flexible query answering systems (FQAS 2002), lecture notes in artificial intelligence, Copenhagen, Denmark. Springer, Berlin, pp 197–211

  26. Georgakopoulos D, Jayaraman PP (2016) Internet of things: from internet scale sensing to smart services. Computing 98(10):1041–1058

    MathSciNet  Google Scholar 

  27. IPSO Alliance (2020) https://www.ipso-alliance.org/. Accessed Sept 2019

  28. Jøsang A, Ismail R, Boyd C (2007) A survey of trust and reputation systems for online service provision. Decis Support Syst 43(2):618–644

    Google Scholar 

  29. McKnight DH, Chervany NL (1996) The meanings of trust. Technical Report MISRC (Management Information Systems Research Center)—Working Paper Series 96-04. University of Minnesota

  30. McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Annu Rev Sociol 27:415–444

    Google Scholar 

  31. Nitti M, Girau R, Atzori L (2014) Trustworthiness management in the social internet of things. IEEE Trans Knowl Data Eng 26(5):1253–1266

    Google Scholar 

  32. Page L, Brin S, Motwani R, Winograd T (1998) The PageRank citation ranking: bringing order to the web. In: Proceedings of the seventh international world-wide web conference (WWW 1998). Elsevier, Brisbane, pp 161–172

  33. Plageras AP, Stergiou C, Kokkonis G, Psannis KE, Ishibashi Y, Kim BG, Gupta BB (2017) Efficient large-scale medical data (ehealth big data) analytics in internet of things. In: Proceedings of the conference on business informatics (CBI’17), vol 2. IEEE, Thessaloniki, pp 21–27

  34. Ramirez ARG, González-Carrasco I, Jasper GH, Lopez AL, Lopez-Cuadrado JL, García-Crespo A (2017) Towards human smart cities: internet of things for sensory impaired individuals. Computing 99(1):107–126

    MathSciNet  Google Scholar 

  35. Resnick P, Zeckhauser R (2002) Trust among strangers in internet transactions: empirical analysis of eBay’s reputation system. In: Baye MR (ed) The economics of the internet and E-commerce. Emerald Group Publishing Limited, New York, pp 127–157

    Google Scholar 

  36. Sabater J, Sierra C (2005) Review on computational trust and reputation models. Artif Intell Rev 24(1):33–60

    MATH  Google Scholar 

  37. Saied YB, Olivereau A, Zeghlache D, Laurent M (2013) Trust management system design for the internet of things: a context-aware and multi-service approach. Comput Secur 39:351–365

    Google Scholar 

  38. Savaglio C, Fortino G, Zhou M (2016) Towards interoperable, cognitive and autonomic IoT systems: an agent-based approach. In: Proceedings of the world forum on internet of things (WF-IoT’16). IEEE, Reston, pp 58–63

  39. Sheikhahmadi A, Nematbakhsh M (2017) Identification of multi-spreader users in social networks for viral marketing. J Inf Sci 43(3):412–423

    Google Scholar 

  40. Sun Y, Zhang J, Xiong Y, Zhu G (2014) Data security and privacy in cloud computing. Int J Distrib Sens Netw 10(7):190903

    Google Scholar 

  41. Truong NB, Um TW, Lee GM (2016) A reputation and knowledge based trust service platform for trustworthy social internet of things. In: Proceedings of the international conference on innovations in clouds, internet and networks (ICIN ’16), Paris

  42. Truong NB, Um TW, Zhou B, Lee GM (2017) From personal experience to global reputation for trust evaluation in the social internet of things. In: Proceedings of the international IEEE global communications conference (GLOBECOM’17). IEEE, Singapore, pp 1–7

  43. Ursino D, Virgili L (2020) Humanizing IoT: defining the profile and the reliability of a thing in a multi-IoT scenario. In: Hassanien AE, Bhatnagar R, Khalifa NEM, Taha MHN (eds) Towards social internet of things: enabling technologies, architectures and applications. Studies in computational intelligence, vol 846. Springer, Berlin, pp 51–76

  44. Wang LH, Bucelli RC, Patrick E, Rajderkar D, Alvarez E III, Lim MM, DeBruin G, Sharma V, Dahiya S, Schmidt RE, Benzinger TS, Ward BA, Ances BM (2013) Role of magnetic resonance imaging, cerebrospinal fluid, and electroencephalogram in diagnosis of sporadic Creutzfeldt–Jakob disease. J Neurol 260(2):498–506

    Google Scholar 

  45. Wang Y, Vassileva J (2007) Toward trust and reputation based web service selection: a survey. Int Trans Syst Sci Appl 3(2):118–132

    Google Scholar 

  46. Yan SR, Zheng XL, Wang Y, Song WW, Zhang WY (2015) A graph-based comprehensive reputation model: exploiting the social context of opinions to enhance trust in social commerce. Inf Sci 318:51–72

    MathSciNet  Google Scholar 

  47. Yan Z, Zhang P, Vasilakos AV (2014) A survey on trust management for internet of things. J Netw Comput Appl 42:120–134

    Google Scholar 

  48. Zissis D, Lekkas D (2012) Addressing cloud computing security issues. Future Gener Comput Syst 28(3):583–592

    Google Scholar 

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Acknowledgements

This work was partially funded by the Department of Information Engineering at the Polytechnic University of Marche under the project “A network-based approach to uniformly extract knowledge and support decision making in heterogeneous application contexts” (RSAB 2018), and by the Marche Region under the project “Human Digital Flexible Factory of the Future Laboratory (HDSFIab)—POR MARCHE FESR 2014–2020—CUP B16H18000050007”.

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Correspondence to Domenico Ursino.

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Ursino, D., Virgili, L. An approach to evaluate trust and reputation of things in a Multi-IoTs scenario. Computing 102, 2257–2298 (2020). https://doi.org/10.1007/s00607-020-00818-5

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