TIDY: A trust-based approach to information fusion through diversity

Name: TIDY: A trust-based approach to information fusion through diversity
Author: Etuk, A., Norman, T. J., Şensoy, Murat, Bisdikian, C., Srivatsa, M.

İsim	TIDY: A trust-based approach to information fusion through diversity
Yazar	Etuk, A., Norman, T. J., Şensoy, Murat, Bisdikian, C., Srivatsa, M.
Basım Tarihi:	2013
Basım Yeri	- IEEE
Konu	Information resources, Query processing, Security of data, Sensor fusion, Trusted computing
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-605-86311-1-3
Kayıt Numarası	bacddfaa-b4fb-4749-aded-8a7adc6102d8
Lokasyon	Computer Science
Tarih	2013
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from as many sources as possible. Situations exist, however, where seeking evidence from all possible sources is unrealistic. Querying information sources is costly especially in resource-constrained environments, in terms of time and bandwidth. In addition, reports from multiple sources expose one to the risk of double-counting evidence, introducing an extra challenge of distinguishing fact from rumour. This paper describes TIDY (Trust-based Information fusion through DiversitY), a trust-based approach to information fusion that exploits diversity among information sources in order to select a small number of candidates to query for evidence, and to minimise the effect of correlated evidence and bias. We demonstrate that reliable decisions can be reached using evidence from small groups of individuals. We show empirically that our approach is robust in contexts of variable trust in information sources, and to a degree of deception.

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TIDY: A trust-based approach to information fusion through diversity

Yazar Etuk, A., Norman, T. J., Şensoy, Murat, Bisdikian, C., Srivatsa, M.

Basım Tarihi 2013

Basım Yeri - IEEE

Konu Information resources, Query processing, Security of data, Sensor fusion, Trusted computing

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-605-86311-1-3

Kayıt Numarası bacddfaa-b4fb-4749-aded-8a7adc6102d8

Lokasyon Computer Science

Tarih 2013

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin Trust and reputation are significant components in open dynamic systems for making informed and reliable decisions. State-of-the-art information fusion models that exploit these mechanisms generally rely on reports from as many sources as possible. Situations exist, however, where seeking evidence from all possible sources is unrealistic. Querying information sources is costly especially in resource-constrained environments, in terms of time and bandwidth. In addition, reports from multiple sources expose one to the risk of double-counting evidence, introducing an extra challenge of distinguishing fact from rumour. This paper describes TIDY (Trust-based Information fusion through DiversitY), a trust-based approach to information fusion that exploits diversity among information sources in order to select a small number of candidates to query for evidence, and to minimise the effect of correlated evidence and bias. We demonstrate that reliable decisions can be reached using evidence from small groups of individuals. We show empirically that our approach is robust in contexts of variable trust in information sources, and to a degree of deception.