Privacy Issues in Mobile Social Networks

Ajami, Racha; Qirim, Nabeel Al; Ramadan, Noha

doi:10.1016/j.procs.2012.06.086

Cited by 12 publications

(12 citation statements)

References 15 publications

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“…Most mobile social networking applications show a popup dialogue requesting permission to access location information from the user. Some applications only provide a notification message to notify on automatic acquiring of user location information without allowing users" control over that process [16]. These accesses sometimes are done without user"s conscience.…”

Section: A Service Accessmentioning

confidence: 99%

“…As most social networking platforms offer association and connectivity, users have the ability to view other users" profiles directly or through a common connection. Therefore, a geosocial networking application should offer visibility setting feature as a privacy-preserving mechanism that support users" controlling decisions regarding who can view their information such as location information or being "nearby" as named in many application [16]. Onion metaphor from Social Penetration Theory [18] will be adapted in this feature.…”

Section: Visibility Settingmentioning

confidence: 99%

“…In addition, access control option over sensitive information like location history and health data is an essential requirement in geosocial networking application. For instance, it is important for a user to have access control option, that able to control friend"s view of the availability duration of users" locations history when they visited several locations during a certain period of time [16].…”

Section: Activity Logmentioning

confidence: 99%

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Content Analysis of Privacy Management Features in Geosocial Networking Application

Anawar¹,

Hong²,

Hamid³

et al. 2018

ijacsa

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Geosocial networking application allows user to share information and communicate with other people within a virtual neighborhood or community. Although most geosocial networking application include privacy management features, one the challenge is to improve privacy management features design. To overcome this challenge, the adaptation of privacyrelated theories offers a concrete way to comprehend and analyze how the privacy management features are used as tangible research results that facilitate user and system developer in understanding privacy management. This paper attempt to propose a standardized privacy management features in geosocial networking application from market perspectives that could be utilized by researchers and application developers to demonstrate or measure privacy management features. The objective of this paper is twofold: First, to map the theoretical constructs guided by Communication Privacy Management (CPM) theory into privacy management features in geosocial networking application. Second, to evaluate the reliability of the proposed features using content analysis. Content analysis is performed on 1326 geosocial networking apps in the market (Google Play store and App Store) to determine the reliability of the proposed privacy management features through inter-coder reliability analysis. The primary findings of the content analysis show that many of the privacy management features with low reliability are from Boundary Turbulence construct. Furthermore, only 6 out of 13 proposed features are deemed reliable, namely, specific grouping, visibility setting, privacy policy, violation, imprecision and inaccuracy. The proposed privacy management features may aid researchers and system developers to focus on the best privacy management features for improving geosocial networking application design.

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Section: A Service Accessmentioning

confidence: 99%

Section: Visibility Settingmentioning

confidence: 99%

Section: Activity Logmentioning

confidence: 99%

See 1 more Smart Citation

Content Analysis of Privacy Management Features in Geosocial Networking Application

Anawar¹,

Hong²,

Hamid³

et al. 2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…• Google+,Foursquare Linkage: There are two options to obtain the linked Google+ and Foursquare users: (1) use Google+ API to obtain Foursquare linked users from Google+ users; (2) search the set of Twitter users obtained using the above two linkage method. If a Twitter user links both a Google+ user and a Foursquare user, we link this pair of Google+,Foursquare users together.…”

Section: User Accounts Linkage Collectionmentioning

confidence: 99%

“…By conducting profile cloning attacks, Shen et al [20] illustrated that threats (e.g., malware, worm) can influence a lot more users after linking user accounts, resulting in user privacy leakage, as threats can be propagated across different OSNs. The surveys of privacy and security in OSNs can be found in [15,1]. However, the defense of these privacy issues still remains open and becomes an urgent need.…”

Section: Related Workmentioning

confidence: 99%

Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks

Shen

Jin

2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

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People have multiple accounts on Online Social Networks (OSNs) for various purposes. It is of great interest for third parties to collect more users' information by linking their accounts on different OSNs. Unfortunately, most users have not been aware of potential risks of such accounts linkage. Therefore, the design of a control methodology that allows users to share their information without the risk of being linked becomes an urgent need, yet still remains open.In this paper, we first aim to raise the users' awareness by presenting an effective User Accounts Linkage Inference (UALI), which is shown to be more powerful to users than existing methods. In order to help users control the risks of UALI, we next propose the first Information Control Mechanism (ICM), in which users' information is still visible as intended and, in the meanwhile, the risk of their accounts linkage can be controlled. Using real-world datasets, the performance of ICM is validated, and we also show that it works well for various linkage inference approaches. Both UALI and ICM approaches, designed to take generic inputs, extend their ability to be widely applied into many practical social services.

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Mobile Social Networking Under Side-Channel Attacks: Practical Security Challenges

et al. 2017

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Privacy Issues in Mobile Social Networks

Cited by 12 publications

References 15 publications

Content Analysis of Privacy Management Features in Geosocial Networking Application

Content Analysis of Privacy Management Features in Geosocial Networking Application

Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks

Mobile Social Networking Under Side-Channel Attacks: Practical Security Challenges

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