Enabling cross-site interactions in social networks

Shehab, Mohamed; Ko, Moonam; Touati, Hakim

doi:10.1007/s13278-012-0051-2

Cited by 7 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MohamedoShehab ,MoonamoKo , HakimoTouati [2] presented a paper on cross-site association structure x-mngr, permitting clients to connect with clients using different social networking sites like facebook twitter, with a strategy named cross-site permission control , that empowers clients indicate different strategies which helps either to permit/disallow permission to their personal information that they have shared like images,videos across all the social networking site. They likewise propose a partial mapping technique in view of a super intend training technique to map client's personal information crosswise over different digital networking site.…”

Section: Literature Surveymentioning

confidence: 99%

Preventing Unauthorized Users From Viewing the Profile Photo in a Social Media

.¹

2016

IJRET

View full text Add to dashboard Cite

Social Networking is one of the most dominant popular innovative technological phenomena which is prevailing these days, with an aid of over a huge number of human population. Many major online platforms such as Facebook, Friendster etc. permits millions of people to design and set up their personal profiles and share their private information with a far-reaching chain of friends, relatives, colleagues, strangers etc. With the vast utilization of these social networking sites, the problem of maintaining the privacy of the information has gained at most attention. Many different approaches have been formulated to encounter such issues. One such approach for managing the privacy is called the 'key management technique'. Thus, this paper proposes a key management system to allow the user to post information that are encrypted such that only the authorized users who are compatible with the corresponding security policy can obtain the key to access the information, thereby providing an efficient way to prevent privacy in a private Social network. Based on the formulated groundwork, an application is constructed which helps in maintaining the privacy of the profile photo.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Preventing Unauthorized Users From Viewing the Profile Photo in a Social Media

.¹

2016

IJRET

View full text Add to dashboard Cite

show abstract

“…We are aware of two lines of previous work that address this problem. The first is the pioneering work of Ko et al [19] and its follow-up work [26]. They proposed a cross-site interaction framework, xmngr, which features cross-site policies (i.e., what we call shared access policy) for protecting shared contents.…”

Section: Related Workmentioning

confidence: 99%

“…Banjo or Sonar users generally try to explore new people and events nearby, and share their feeds and photos with them. To benefit from each of these services, a user usually ends up with accounts on multiple SCSs [19,26].…”

Section: Introductionmentioning

confidence: 99%

“…We are aware of two lines of previous work that have considered protection of shared data across distributed systems [19,26,28]. In their pioneering work [19,26], Shehad et al proposed the formulation of cross-site policies for shared contents, in order to address the challenge of Policy Fidelity. They advocated also the adoption of a trusted third party, x-mngr, for managing crosssite policies and arbitrating accesses.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On protection in federated social computing systems

Tarameshloo

Fong

Mohassel

2014

Proceedings of the 4th ACM Conference on Data and Application Security and Privacy

View full text Add to dashboard Cite

Nowadays, a user may belong to multiple social computing systems (SCSs) in order to benefit from a variety of services that each SCS may provide. To facilitate the sharing of contents across the system boundary, some SCSs provide a mechanism by which a user may "connect" his accounts on two SCSs. The effect is that contents from one SCS can now be shared to another SCS. Although such a connection feature delivers clear usability advantages for users, it also generates a host of privacy challenges. A notable challenge is that the access control policy of the SCS from which the content originates may not be honoured by the SCS to which the content migrates, because the latter fails to faithfully replicate the protection model of the former.In this paper we formulate a protection model for a federation of SCSs that support content sharing via account connection. A core feature of the model is that sharable contents are protected by access control policies that transcend system boundary -they are enforced even after contents are migrated from one SCS to another. To ensure faithful interpretation of access control policies, their evaluation involves querying the protection states of various SCSs, using Secure Multiparty Computation (SMC). An important contribution of this work is that we carefully formulate the conditions under which policy evaluation using SMC does not lead to the leakage of information about the protection states of the SCSs. We also study the computational problem of statically checking if an access control policy can be evaluated without information leakage. Lastly, we identify useful policy idioms.

show abstract

“…Examples are the suggestions of people with similar interests, recommendations of resources [2] and support to content annotation by tag suggestion [3]. Personal data are also used for security-related services, such as automatic filtering of unintended friends [4] and trust predictions in social networks [5]. However, technologies for automating the acquisition of user data can be a two-edged sword.…”

Section: Introductionmentioning

confidence: 99%

Escaping the Big Brother: An empirical study on factors influencing identification and information leakage on the Web

Carmagnola

Osborne

Torre

2013

Journal of Information Science

View full text Add to dashboard Cite

This paper presents a study on factors that may increase the risks of personal information leakage, due to the possibility of connecting user profiles that are not explicitly linked together. First, we introduce a technique for user identification based on cross-site checking and linking of user attributes. Then, we describe the experimental evaluation of the identification technique both on a real setting and on an online sample, showing its accuracy to discover unknown personal data. Finally, we combine the results on the accuracy of identification with the results of a questionnaire completed by the same subjects who performed the test on the real setting. The aim of the study was to discover possible factors that make users vulnerable to this kind of techniques. We found out that the number of social networks used, their features and especially the amount of profiles abandoned and forgotten by the user are factors that increase the likelihood of identification and the privacy risks.

show abstract

Enabling cross-site interactions in social networks

Cited by 7 publications

References 25 publications

Preventing Unauthorized Users From Viewing the Profile Photo in a Social Media

Preventing Unauthorized Users From Viewing the Profile Photo in a Social Media

On protection in federated social computing systems

Escaping the Big Brother: An empirical study on factors influencing identification and information leakage on the Web

Contact Info

Product

Resources

About