NDLI: Autonomic Trust Extraction for Trustworthy Service Discovery in Urban Computing

Content Provider	IEEE Xplore Digital Library
Author	Kyounghee Jung Younghee Lee
Copyright Year	2009
Abstract	Trustworthy service discovery against malicious services is an issue in pervasive computing where interactions between user and service occur spontaneously. For trustworthy service selection, reputation based trust model which uses user evaluation to derive the trustworthiness of service behavior is a well known approach. However, it requires voluntary user participation and often has a problem with the lack of gathered data. In general, task based computing provides a task to user which is a composition of services rather than unit services.Therefore, user can’t give direct evaluation on unit service. In this paper, we present an autonomic trust extraction method that trust value of service behavior can be extracted without any user intervention. In our method, the interaction between user and service is monitored, and trust value for a service is automatically determined after each interaction according to the number of recurrent interaction with a service and the fact whether the interacted service is bookmarked or not. We also present simulation results that evaluate the proposed model.The results show that our model captures the degree of trustworthy in service behavior r with about 70% ~ 80% of correlation between the actual trust and the estimated trust when user bookmarking ratio is about over 30%.
Starting Page	502
Ending Page	507
File Size	332620
Page Count	6
File Format	PDF
ISBN	9780769539294
e-ISBN	9781424454211
DOI	10.1109/DASC.2009.39
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pervasive computing Context-aware services trust autonomic Computerized monitoring Data mining pervasive computing service discovery Computer science Feedback Information security bookmarking interaction Protection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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