Partial identities as a foundation for trust and reputation

Such, José M.; Espinosa, Arturo; García-Fornes, Ana; Botti, Vicente

doi:10.1016/j.engappai.2011.06.008

Cited by 32 publications

(26 citation statements)

References 20 publications

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“…Other more general approaches have been proposed to provide pseudonymity to agent technologies (van Blarkom et al, 2003;Such et al, 2011b). Both approaches propose the integration of PrivacyEnhancing Technologies (PETs) (Senicar et al, 2003) into agent technologies.…”

Section: Support From Agent Platformsmentioning

confidence: 99%

“…However, they do not provide any specific design or implementation of an Identity Protector and the integration of it into an agent architecture. Such et al (2011b) present a proposal for an Identity Protector based on trusted third parties. Moreover, this proposal has been integrated into the Magentix2 AP (Such et al, 2011c).…”

Section: Support From Agent Platformsmentioning

confidence: 99%

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A survey of privacy in multi-agent systems

Such

Espinosa

García-Fornes

2013

The Knowledge Engineering Review

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Privacy has been a concern for humans long before the explosive growth of the Internet. The advances in information technologies have further increased these concerns. This is because the increasing power and sophistication of computer applications offers both tremendous opportunities for individuals, but also significant threats to personal privacy. Autonomous agents and Multi-agent Systems are examples of the level of sophistication of computer applications. Autonomous agents usually encapsulate personal information describing their principals, and therefore they play a crucial role in preserving privacy. Moreover, autonomous agents themselves can be used to increase the privacy of computer applications by taking advantage of the intrinsic features they provide, such as artificial intelligence, pro-activeness, autonomy, and the like. This article introduces the problem of preserving privacy in computer applications and its relation to autonomous agents and Multi-agent Systems. It also surveys privacy-related studies in the field of Multi-agent Systems and identifies open challenges to be addressed by future research.

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Section: Support From Agent Platformsmentioning

confidence: 99%

Section: Support From Agent Platformsmentioning

confidence: 99%

A survey of privacy in multi-agent systems

Such

Espinosa

García-Fornes

2013

The Knowledge Engineering Review

Self Cite

View full text Add to dashboard Cite

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“…In this way, Such et al [56] present a pseudonym management model that has been implemented into an agent framework [57]. Warnier and Brazier [62] also present a proposal for supporting pseudonym management in an agent framework.…”

Section: Related Workmentioning

confidence: 99%

Strategies for avoiding preference profiling in agent-based e-commerce environments

et al. 2013

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Agent-based electronic commerce is known to offer many advantages to users. However, very few studies have been devoted to deal with privacy issues in this domain. Nowadays, privacy is of great concern and preserving users' privacy plays a crucial role to promote their trust in agent-based technologies. In this paper, we focus on preference profiling, which is a wellknown threat to users' privacy. Specifically, we review strategies for customers' agents to prevent seller agents from obtaining accurate preference profiles of the former group by using data mining techniques. We experimentally show the efficacy of each of these strategies and discuss their suitability in different situations. Our experimental results show that customers can improve their privacy notably with these strategies.

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“…In particular, they proposed an instantiation by defining an infrastructure based on the use of SAML and XACML technologies. Other approaches [19] use X.509…”

Section: Related Workmentioning

confidence: 99%

Holistic Privacy-Preserving Identity Management System for the Internet of Things

Bernabé

Hernández-Ramos

Gómez

2017

Mobile Information Systems

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Security and privacy concerns are becoming an important barrier for large scale adoption and deployment of the Internet of Things. To address this issue, the identity management system defined herein provides a novel holistic and privacy-preserving solution aiming to cope with heterogeneous scenarios that requires both traditional online access control and authentication, along with claim-based approach for M2M (machine to machine) interactions required in IoT. It combines a cryptographic approach for claim-based authentication using the Idemix anonymous credential system, together with classic IdM mechanisms by relying on the FIWARE IdM (Keyrock). This symbiosis endows the IdM system with advanced features such as privacy-preserving, minimal disclosure, zero-knowledge proofs, unlikability, confidentiality, pseudonymity, strong authentication, user consent, and offline M2M transactions. The IdM system has been specially tailored for the Internet of Things bearing in mind the management of both users' and smart objects' identity. Moreover, the IdM system has been successfully implemented, deployed, and tested in the scope of SocIoTal European research project.

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Partial identities as a foundation for trust and reputation

Cited by 32 publications

References 20 publications

A survey of privacy in multi-agent systems

A survey of privacy in multi-agent systems

Strategies for avoiding preference profiling in agent-based e-commerce environments

Holistic Privacy-Preserving Identity Management System for the Internet of Things

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