Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments

Name: Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments
Author: Bisdikian, C., Gibson, C., Chakraborty, S., Srivastava, M. B., Şensoy, Murat, Norman, T. J.

İsim	Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments
Yazar	Bisdikian, C., Gibson, C., Chakraborty, S., Srivastava, M. B., Şensoy, Murat, Norman, T. J.
Basım Tarihi:	2014-04
Basım Yeri	- Elsevier
Konu	Quality of information, Value of information, Risk of information, QoI, VoI, RoI, Obfuscation, Inference management
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1873-1589
Kayıt Numarası	d1d7691f-16fd-4022-a290-5db3e69dc689
Lokasyon	Computer Science
Tarih	2014-04
Notlar	US Army Research Laboratory ; UK Ministry of Defence ; TÜBİTAK
Örnek Metin	The emergence of large scale, distributed, sensor-enabled, machine-to-machine pervasive applications necessitates engaging with providers of information on demand to collect the information, of varying quality levels, to be used to infer about the state of the world and decide actions in response. In these highly fluid operational environments, involving information providers and consumers of various degrees of trust and intentions, information transformation, such as obfuscation, is used to manage the inferences that could be made to protect providers from misuses of the information they share, while still providing benefits to their information consumers. In this paper, we develop the initial principles for relating to inference management and the role that trust and obfuscation plays in it within the context of this emerging breed of applications. We start by extending the definitions of trust and obfuscation into this emerging application space. We, then, highlight their role as we move from the tightly-coupled to loosely-coupled sensory-inference systems and describe how quality, value and risk of information relate in collaborative and adversarial systems. Next, we discuss quality distortion illustrated through a human activity recognition sensory system. We then present a system architecture to support an inference firewall capability in a publish/subscribe system for sensory information and conclude with a discussion and closing remarks.
DOI	10.1016/j.pmcj.2013.08.003
Cilt	11

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Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments

Yazar Bisdikian, C., Gibson, C., Chakraborty, S., Srivastava, M. B., Şensoy, Murat, Norman, T. J.

Basım Tarihi 2014-04

Basım Yeri - Elsevier

Konu Quality of information, Value of information, Risk of information, QoI, VoI, RoI, Obfuscation, Inference management

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1873-1589

Kayıt Numarası d1d7691f-16fd-4022-a290-5db3e69dc689

Lokasyon Computer Science

Tarih 2014-04

Notlar US Army Research Laboratory ; UK Ministry of Defence ; TÜBİTAK

Örnek Metin The emergence of large scale, distributed, sensor-enabled, machine-to-machine pervasive applications necessitates engaging with providers of information on demand to collect the information, of varying quality levels, to be used to infer about the state of the world and decide actions in response. In these highly fluid operational environments, involving information providers and consumers of various degrees of trust and intentions, information transformation, such as obfuscation, is used to manage the inferences that could be made to protect providers from misuses of the information they share, while still providing benefits to their information consumers. In this paper, we develop the initial principles for relating to inference management and the role that trust and obfuscation plays in it within the context of this emerging breed of applications. We start by extending the definitions of trust and obfuscation into this emerging application space. We, then, highlight their role as we move from the tightly-coupled to loosely-coupled sensory-inference systems and describe how quality, value and risk of information relate in collaborative and adversarial systems. Next, we discuss quality distortion illustrated through a human activity recognition sensory system. We then present a system architecture to support an inference firewall capability in a publish/subscribe system for sensory information and conclude with a discussion and closing remarks.

DOI 10.1016/j.pmcj.2013.08.003

Cilt 11