Trust Based Participant Driven Privacy Control in Participatory Sensing

Abstract

Widespread use of sensors and multisensory personal devices generate a lot of personal information. Sharing this information with others could help in various ways. However, this information may be misused when shared with all. Sharing of information between trusted parties overcomes this problem. This paper describes a model to share information based on interactions and opinions to build trust among peers. It also considers institutional and other controls, which influence the behaviour of the peers. The trust and control build confidence. The computed confidence bespeaks whether to reveal information or not thereby increasing trusted cooperation among peers.Comment: 14 page

Trust management and reputation systems in mobile participatory sensing applications: A survey

“…Dua et al [39] Hybrid [38] Hybrid TPM N-anon √ √ ---------Gilbert et al [96] Hybrid TPM Anon √ √ √ --------Saroiu et al [95] Hybrid [97] Hybrid TPM N-anon √ ----------Reddy et al [104] Hybrid [105] Hybrid [91] Coll. [84,92] Hybrid [90] Coll. [83] Cen [85] Cen [86,107] Cen [109] Cen [67] Cen Each reputation-based trust system selects one or more of the previous parameters and adopts a specific reputation mapping function to calculate a trust score for every participant.…”

“…Some instances of centralized trust systems are presented in [85,86,87,89]. While, [88,90,91] are collaborative systems, and [92,37,36] are hybrid trust systems. The merits, as well as the limitations of each of those distributions, are discussed in 4.2.1.…”

“…The limitations of centralized systems can be avoided by employing collaborative trust systems (e.g [90,91]). Nevertheless, collaborative systems impose extra overhead on every entity in the system.…”

“…In the reactive mode, the dissemination is performed according to some triggers, events or when some threshold is reached. In other systems, a query message is required for obtaining trust scores [90].…”

“…JKalidindi et al, in [90], exploited both personal and community opinions to evaluate the trustworthiness of a specific participant. First, each contribution is assigned either positive or negative feedback by the requester.…”