Privacy architectures in social networks' state-of-the-art survey (original) (raw)
Related papers
Privacy by design for social networks
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 exposure of personal information. Large-scale sharing in virtual spaces means that researchers, designers and developers now need to reconsider the issues and challenges of maintaining privacy when using social networking services. Some research has begun to focus on this area of privacy; however, it is limited in its application and scope. What is now required is a new design paradigm that provides all the expected functionality of social networking services, while at the same time preserving and maintaining all the elements of user privacy expectations. This current research has developed a Social Networking privacy framework and privacy model. It has also designed a three level architecture of Business, Data, and Technology, which is based on The Open Group Architecture Framework (TOGAF®). This framework and architecture provides a novel platform for investigating privacy in Social Networks (SNs) for both desktop and mobile devices. This approach mitigates many current SN privacy issues, and leads to a more controlled form of privacy assessment. Ultimately, more privacy will encourage more connections between people across SN services. In summary, this research has established a new privacy framework, privacy model, and privacy architecture to create more transparent and accountable privacy for social networking users.
Enabling Privacy as a Fundamental Construct for Social Networks
2009
The current set of social networking platforms, e.g. Facebook and MySpace, has created a new class of Internet applications called social software. These systems focus on leveraging the real life relationships of people and augment them with the facilities and the richness of the Web. The large number of social applications and the even larger user populations of these social networks are proving that this new class of software is useful and complements modern life. However, social platforms and software are not without drawbacks and significant concerns. One of the most important considerations is the need to allow strong security and privacy protections. In addition, these protections need to be easy to use and apply uniformly across platforms and applications. While most of the leading social platforms have primitives for providing privacy in the platform and the applications, we argue that they are insufficient. In particular, the privacy primitives lack ease of use, are too plentiful, do not fully apply to third party applications, and do not take full advantage of the social graphs that users implicitly build on these platforms. This paper provides a first step in resolving these issues.
xBook: Redesigning privacy control in social networking platforms
2009
Social networking websites have recently evolved from being service providers to platforms for running third party applications. Users have typically trusted the social networking sites with personal data, and assume that their privacy preferences are correctly enforced. However, they are now being asked to trust each third-party application they use in a similar manner. This has left the users' private information vulnerable to accidental or malicious leaks by these applications. In this work, we present a novel framework for building privacy-preserving social networking applications that retains the functionality offered by the current social networks. We use information flow models to control what untrusted applications can do with the information they receive. We show the viability of our design by means of a platform prototype. The usability of the platform is further evaluated by developing sample applications using the platform APIs. We also discuss both security and nonsecurity challenges in designing and implementing such a framework.
Open Challenges in Relationship-Based Privacy Mechanisms for Social Network Services
International Journal of Human-Computer Interaction, 2015
Social networking services (SNSs) such as Facebook or Twitter have experienced an explosive growth during the few past years. Millions of users have created their profiles on these services because they experience great benefits in terms of friendship. SNSs can help people to maintain their friendships, organize their social lives, start new friendships, or meet others that share their hobbies and interests. However, all these benefits can be eclipsed by the privacy hazards that affect people in SNSs. People expose intimate information of their lives on SNSs, and this information affects the way others think about them. It is crucial that users be able to control how their information is distributed through the SNSs and decide who can access it. This paper presents a list of privacy threats that can affect SNS users, and what requirements privacy mechanisms should fulfill to prevent this threats. Then, we review current approaches and analyze to what extent they cover the requirements.
Privacy and Identity …, 2011
While using social software and interacting with others on the Internet, users share a lot of information about themselves. An important issue for these users is maintaining control over their own personal data and being aware to whom which data is disclosed. In this chapter, we present specific requirements and realised solutions to these problems for two different kinds of social software: social networking sites and web forums.
Privacy protection for social networking APIs
2008 Web 2.0 Security and Privacy (W2SP'08), 2008
Social networking APIs integrate third-party content into the site and give third-party developers access to user data. These open interfaces enable popular site enhancements but pose serious privacy risks by exposing user data to third-party developers. We address the privacy risks associated with social networking APIs by presenting a privacy-by-proxy design for a privacypreserving API that is motivated by an analysis of the data needs and uses of Facebook applications. Our study of 150 popular Facebook applications reveals that nearly all applications could maintain their functionality using a limited interface that only provides access to an anonymized social graph and placeholders for user data. Since the platform host can control the third party applications' output, privacy-by-proxy can be accomplished without major changes to the platform architecture or applications by using new tags and data transformations.
Privacy in Online Social Networks
researchgate.net
In the last decade, the popularity of Online Social Networks (OSNs) has considerably increased. Nowadays, OSNs connect hundreds of millions of users daily. Consequently, individuals have started to manifest a real concern regarding the amount of private information shared and displayed online. Three distinct threat sources can be identified: the user itself, direct or indirect connections of users and finally, OSN providers. User friendly privacy control settings have become very important features for OSNs. However, it still remains up to each user to adopt and apply those settings that best correspond with her privacy goals. Even when appropriately applied, most privacy protection mechanisms provided by OSNs do not eliminate all the possible threats. In this paper we present existing privacy threats that OSN users are exposed to. We discuss about conflicts, how they appear and how they create opportunities for threats. A set of existing solutions to enhance privacy protection are also covered in this work.
Cihan University-Erbil Scientific Journal, 2019
Privacy is a vital research field for social network (SN) sites (SNS), such as Facebook, Twitter, and Google+, where both the number of users and the number of SN applications are sharply growing. Recently, there has been an exponential increase in user-generated text content, mainly in terms of posts, tweets, reviews, and messages on SN. This increase in textual information introduces many problems related to privacy. Privacy is susceptible to personal behavior due to the shared online data structure of SNS. Therefore, this study will conduct a systematic literature review to identify and discuss the main privacy issues associated with SN, existing privacy models and the limitations and gaps in current research into SN privacy.
User Oriented Privacy Model for Social Networks
Social Networking Sites (SNSs) have become a global experience, with communities such as Facebook, MySpace and Friendster which they are reporting user figures in the hundreds of millions. People, have been invited into or chosen to join these communities are able to publish multimedia content about themselves, their interests and concerns. With intensive information been shared, privacy concern are rising up because Social networks privacy is different from the classic privacy setting that cause a lot of problems such as exposing sensitive information. On the other hand privacy model should be designed to facilitate user's requirements, which mean that users are, supposed to set up their own privacy setting. Since it's still not well defined and need to be improved and studied further. However, to solve this is by providing a more private platform with the ability for users to set their own privacy settings. The privacy model can be so general to more complicated, but all of them are still not clear for users to be aware off. The new model we are proposing will solve the privacy issues since it's done by users and monitored by developers. This research will point out some problems, and how to solve these problems by proposing a new user oriented privacy model for social networks.
Ubiquitous social networks: opportunities and challenges for privacy-aware user modelling
2007
Privacy has been recognized as an important topic in the Internet for a long time, and technological developments in the area of privacy tools are ongoing. However, their focus was mainly on the individual. With the proliferation of social network sites, it has become more evident that the problem of privacy is not bounded by the perimeters of individuals but also by the privacy needs of their social networks. The objective of this paper is to contribute to the discussion about privacy in social network sites, a topic which we consider to be severely under-researched. We propose a framework for analyzing privacy requirements and for analyzing privacy-related data. We outline a combination of requirements analysis, conflict-resolution techniques, and a P3P extension that can contribute to privacy within such sites.