Detailed Information on Publication Record

CVRČEK, Daniel, Václav MATYÁŠ and Patel AHMED. Evidence processing and privacy issues in evidence-based reputation systems. Computer Standards & Interfaces. Holland: Elsevier B.V., 2005, vol. 27, No 5, p. 533-545. ISSN 0920-5489.

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Basic information
Original name	Evidence processing and privacy issues in evidence-based reputation systems
Name in Czech	Zpracování důkazních dat a otázky soukromí v reputačních systémech založených na důkazních datech
Authors	CVRČEK, Daniel (203 Czech Republic), Václav MATYÁŠ (203 Czech Republic, guarantor) and Patel AHMED (372 Ireland).
Edition	Computer Standards & Interfaces, Holland, Elsevier B.V. 2005, 0920-5489.

Other information
Original language	English
Type of outcome	Article in a journal
Field of Study	10201 Computer sciences, information science, bioinformatics
Country of publisher	Netherlands
Confidentiality degree	is not subject to a state or trade secret
Impact factor	Impact factor: 0.620
RIV identification code	RIV/00216224:14330/05:00030953
Organization unit	Faculty of Informatics
UT WoS	000229847500010
Keywords in English	Evidence processing; Privacy; Pseudonymity; Trust model
Tags	Evidence processing, privacy, Pseudonymity, Trust model
Tags	International impact, Reviewed
Changed by	Changed by: prof. RNDr. Václav Matyáš, M.Sc., Ph.D., učo 344. Changed: 23/6/2009 19:45.

Abstract
Issues related to processing of evidence in evidence-based reputation systems, with a particular concern for user privacy, are discussed in our paper. The novel idea of evidence-based reputation (or trust) systems is that such systems do not rely on an objective knowledge of user identity. One has instead to consider possible privacy infringements based on the use of data (evidence) about the previous behaviour of entities in the systems. We provide a brief introduction to evidence-based trust/reputation systems, as well as to the privacy issues, addressing the common problem of many papers that narrow the considerations of privacy to anonymity only. We elaborate on the concept of pseudonymity through aspects of evidence storing and processing. This, together with a consideration of current work on trust models, leads to our specification of requirements for the trust model for evidence-based systems supporting pseudonymity.

Abstract

Issues related to processing of evidence in evidence-based reputation systems, with a particular concern for user privacy, are discussed in our paper. The novel idea of evidence-based reputation (or trust) systems is that such systems do not rely on an objective knowledge of user identity. One has instead to consider possible privacy infringements based on the use of data (evidence) about the previous behaviour of entities in the systems. We provide a brief introduction to evidence-based trust/reputation systems, as well as to the privacy issues, addressing the common problem of many papers that narrow the considerations of privacy to anonymity only. We elaborate on the concept of pseudonymity through aspects of evidence storing and processing. This, together with a consideration of current work on trust models, leads to our specification of requirements for the trust model for evidence-based systems supporting pseudonymity.

Abstract (in Czech)
Issues related to processing of evidence in evidence-based reputation systems, with a particular concern for user privacy, are discussed in our paper. The novel idea of evidence-based reputation (or trust) systems is that such systems do not rely on an objective knowledge of user identity. One has instead to consider possible privacy infringements based on the use of data (evidence) about the previous behaviour of entities in the systems. We provide a brief introduction to evidence-based trust/reputation systems, as well as to the privacy issues, addressing the common problem of many papers that narrow the considerations of privacy to anonymity only. We elaborate on the concept of pseudonymity through aspects of evidence storing and processing. This, together with a consideration of current work on trust models, leads to our specification of requirements for the trust model for evidence-based systems supporting pseudonymity.

Abstract (in Czech)