Trust Management in ULOOP

Lafuente, Carlos Ballester; Seigneur, Jean-Marc; Sofia, Rute C.; Silva, Christian; Moreira, Waldir

doi:10.1007/978-3-319-05218-2_5

Cited by 3 publications

(3 citation statements)

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“…In a pervasive scenario, the PDS system should rely on the possibility to build trust on-the-fly: devices create trust circles (i.e., sets of trusted users) based on the reputation of those with whom they interact, and based on the impact that those devices had on previous interactions. This way, users can establish communication with desirable trust levels and safely share data [6].…”

Section: Paradigm #2 -Trustworthy Peeringmentioning

confidence: 99%

“…One may argue that paradigm #1 is not required given the fact that users are expected (i.e., willing) to cooperate at all times. This assumption must be dealt with care: although devices have significant resources, their owners will certainly not share all the available resources [6].…”

Section: How To Design Pervasive Data Sharing Systemsmentioning

confidence: 99%

“…Regarding the trust framework, different mechanisms to proper reflect trust associations between users may be used [6]: users are uniquely identified by means of virtual identities based on cryptography to reduce impersonation and non-repudiation issues; users can explicitly set how they trust unknown users (i.e., dispositional trust). Trust computation is given by the different trust associations and may be influenced by local (e.g., user's reputation) and external (e.g., presence of malicious users in the vicinity) aspects.…”

Section: A Functional Blocks For Pervasive Data Sharingmentioning

confidence: 99%

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Pervasive data sharing as an enabler for mobile citizen sensing systems

Moreira

Mendes

2015

IEEE Commun. Mag.

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Today, users can use their personal devices for a wide range of applications and services, such as controlling other devices, monitoring human physiological signals, or accessing information while on the move. Due to the communication and sensing capability of personal devices as well as embedded devices, their pervasive deployment and use may lead to an improvement of social and personal welfare by exploiting novel mobile citizen sensing applications. However, the pervasiveness of such large-scale sensing systems is only possible if devices are able to share sensing data independently of the available communication infrastructure, their location, and applications making use of the collected data. Hence, this paper describes a set of paradigms that should be considered to allow pervasive data sharing for the support mobile citizen sensing systems.

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Section: Paradigm #2 -Trustworthy Peeringmentioning

confidence: 99%

Section: How To Design Pervasive Data Sharing Systemsmentioning

confidence: 99%

Section: A Functional Blocks For Pervasive Data Sharingmentioning

confidence: 99%

See 1 more Smart Citation