To Share or Not to Share: Supporting the User Decision in Mobile Social Software Applications

Lugano, Giuseppe; Saariluoma, Pertti

doi:10.1007/978-3-540-73078-1_61

Cited by 9 publications

(9 citation statements)

References 9 publications

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“…With the access control mechanism, users may specify that certain of their profile items are accessible only by 'friends', 'friends of friends', or certain members in the friend list by using an access control list (Lugano and Saariluoma, 2007), multilevel access control list (Park et al, 2010), degree of relationship (Cai et al, 2009), or hidden friendship matching (Preibusch and Beresford, 2009). The users may iteratively capture their privacy preferences by using 'Privacy Wizard' (Fang and LeFevre, 2010) or may use an automated service such as 'Privacy Butler' (Wishart et al, 2010).…”

Section: Client-server Architecturementioning

confidence: 99%

“…1 they may be technically adept enough to understand the privacy settings of the SN 2 they might be able to employ a mobile access control list (MACL), a privacy control mechanism which considers 'user attitude', 'user communication history' and 'social aspect' (Lugano and Saariluoma, 2007) 3 they might ensure privacy by using a SN Privacy Wizard template (Fang and LeFevre, 2010), which iteratively captures a limited number of user inputs to assign privacy 'labels' to selected friends and infers a user privacy preference 4 they can utilise 'Privacy Butler', an automated service which monitors privacy policies and filters unwanted activities of connected friends (Wishart et al, 2010) 5 they can avail themselves of the advantages of the capabilities of both the Semantic Web and mobile adhoc networks to ensure privacy based on a simple number as the trust mechanism, such as the 'BlueTrust' system (Markides and Coetzee, 2008); however, trust is more complex and, while regularly available in the Bluetooth range, the system may not provide symmetric or asymmetric trust.…”

Section: Privacy By Access Controlmentioning

confidence: 99%

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Privacy architectures in social networks' state-of-the-art survey

Islam

Iannella

Watson

et al. 2015

IJIPSI

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The use of social networking has exploded, with millions of people using various web-and mobile-based services around the world. This increase in social networking use has led to user anxiety related to privacy and the unauthorised exposure of personal information. Large-scale sharing in virtual spaces means that researchers, designers and developers now need to re-consider the issues and challenges of maintaining privacy when using social networking services. This paper provides a comprehensive survey of the current state-of-the-art privacy in social networks for both desktop and mobile uses and devices from various architectural vantage points. The survey will assist researchers and analysts in academia and industry to move towards mitigating many of the privacy issues in social networks.

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Section: Client-server Architecturementioning

confidence: 99%

Section: Privacy By Access Controlmentioning

confidence: 99%

Privacy architectures in social networks' state-of-the-art survey

Islam

Iannella

Watson

et al. 2015

IJIPSI

View full text Add to dashboard Cite

show abstract

“…The decision for location privacy settings in Social Networks depends also on context factors like the current location of the user, the occasion, or the purpose for a location retrieval [27,23]. The context a permission is given might also have an effect on the choice of mobile app permission settings, for example if a user wants to grant the web browser access to the internal storage only to store e-ticket receipts.…”

Section: Future Workmentioning

confidence: 99%

Towards Understanding the Influence of Personality on Mobile App Permission Settings

Raber¹,

Krueger²

2017

Human-Computer Interaction – INTERACT 2017

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In this paper we investigate the question whether users' personalities are good predictors for privacy-related permissions they would grant to apps installed on their mobile devices. We report on results of a large online study (n=100) which reveals a significant correlation between the user's personality according to the big five personality scores, or the IUIPC questionnaire, and the app permission settings they have chosen. We used machine learning techniques to predict user privacy settings based on their personalities and consequently introduce a novel strategy that simplifies the process of granting permissions to apps.

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“…A user announces his documents to a friend, if the friend is interested he can request a document. Papers (Eagle, 2006), (Lugano, 2007) and (Raento, 2005) discuss implementation of various forms of a social network.…”

Section: Content Sharing In Msnmentioning

confidence: 99%

A Content Driven Data Propagation Protocol for MSN in Disconnected Manets

Qureshi¹,

Min²,

Kouvatsos³

2009

Proceedings of the International Conference on Wireless Information Networks and Systems

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Recently various architectures for Mobile Social Networks (MSNs) have been proposed. In MSNs users can participate in communication with other users based on their respective interest profiles with the idea of sharing documents that are of interest to a particular user. Typically users subscribe to a social networking service and look for other users with similar interest profiles. However connectivity may not always be available for sharing data. In this paper we propose a protocol for MSN implementation in a disconnected Mobile Ad Hoc Network environment for sharing data. Message delivery in disconnected Mobile Ad Hoc networks (MANETs) is difficult since the network graph is rarely connected. Our proposed protocol exploits the store, carry and forward capability of a disconnected MANET. Results from simulations and implementation show that this approach efficiently disseminates data while minimizing use of resources in the network.

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To Share or Not to Share: Supporting the User Decision in Mobile Social Software Applications

Cited by 9 publications

References 9 publications

Privacy architectures in social networks' state-of-the-art survey

Privacy architectures in social networks' state-of-the-art survey

Towards Understanding the Influence of Personality on Mobile App Permission Settings

A Content Driven Data Propagation Protocol for MSN in Disconnected Manets

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