PeerSense: Who is near you?

Abstract. We present the design and implementation of the PeerShare, a system that can be used by applications to securely distribute sensitive data to social contacts of a user. PeerShare incorporates a generic framework that allows different applications to distribute data with different security requirements. By using interfaces available from existing popular social networks, PeerShare is designed to be easy to use for both end users as well as developers of applications. PeerShare can be used to distribute shared keys, public keys and any other data that need to be distributed with authenticity and confidentiality guarantees to an authorized set of recipients, specified in terms of social relationships. We have used PeerShare already in three different applications and plan to make it available for developers.

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“…Currently PeerShare is already used in three example applications, namely PeerSense [10], SCAMPI [16] and CrowdShare [3] [4].…”

Section: Usage Scenariosmentioning

confidence: 99%

“…PeerSense [10] is a service on a mobile device that senses the presence of nearby friends. Applications can query PeerSense for the set of nearby friends at any given moment(e.g.…”

Section: Usage Scenariosmentioning

confidence: 99%

PeerShare: A System Secure Distribution of Sensitive Data among Social Contacts

2013

Self Cite

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“…As stated above, some proposals focus on extracting information from social networks and digesting them to produce knowledge that can be eventually exploited in pervasive services, as if such social sensing knowledge were at the same level of pervasive sensing one. Gupta et al (2012) propose PeerSense a system enabling context-aware services for people in short proximity in the physical environment (i.e. contextual photo-sharing, file sharing, etc.)…”

Section: Extracting Data From Social Networkmentioning

confidence: 99%

Integrating social sensors and pervasive services: approaches and perspectives

Rosi¹,

Mamei²,

Zambonelli³

2013

International Journal of Pervasive Computing and Communications

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Purpose – The key purpose of this paper is to overview the many issues related to the integration of social sensing and pervasive sensing in the support of adaptive context-aware services. Design/methodology/approach – From the analysis of existing proposals and prototypes, the authors found out that the process of integrating social and pervasive sensing can follow a limited number of approaches, which enables the authors to properly frame the proposals existing in the literature (and/or available as prototype infrastructures) according to a simple taxonomy, which is very useful to make the survey much more effective than a simple list of systems and proposals. Findings – The taxonomy shows that, when integrating social sensing with pervasive sensing, it is possible, at one extreme, to exploit social network as a mere source of information and have such information flow towards the infrastructure supporting the execution of pervasive computing services. At the other extreme, it is possible exploiting a social network as an infrastructure for the integration, by having data from pervasive devices flow towards social networks. In between the extremes, different means can consider to have social networks and pervasive infrastructures converge towards each other to enable the integration of social and pervasive sensing. Originality/value – Besides introducing the main concepts related to social sensing and framing the key approaches that can be undertaken to pursue the integration with traditional pervasive sensing, the authors go further discussing open issues and key research challenges behind their seamless integration.

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