Special Issue "Privacy Protection on Social Network Data"
Deadline for manuscript submissions: closed (31 May 2021).
Most of Social Networks provide control functions to limit the visibility of certain data (such as contact list, comments, wall posts and pictures) to a specific user group. However, most of users are unaware of the risks associated with the publication and exchange of personal data on social networks. For example, publishing and sharing location information on Facebook could easily lead to a burglary. Privacy risks may appear either directly after online data publication (e.g. finding a user's phone number within a wall post) or indirectly through an inference of private information (e.g. deducing political orientation from some friendship relations). Accordingly, the risks due to data sharing are constantly increasing, allowing privacy attacks with unfortunate consequences, and making people very reticent to remain socially active (e.g. staying connected with friends and expanding friendship circle). To practice online social activities with greater confidence and less risk, it is imperative to devise methods and tools that allow users to control themselves the usage that their data can be destined to. These tools assist users to detect and minimize the dissemination of personal information.
The goal of this Special Issue is to advance forward research and reflect the current progress in dealing with the privacy issues in Social Networks (SN). Topics of interests include but are not limited to the following:
- Definition and evaluation of novel privacy metrics for SN;
- Threats and inference attacks in SN;
- Methods to evaluate/predict privacy risks in SN;
- Attributed graph mining for analysing SN users;
- Digital forensics in SN;
- Trust and reputation in SN;
- Adaptive privacy protection in SN;
- Anonymization techniques in SN;
- Privacy preservation against adversarial machine learning attacks.
Dr. Abdessamad Imine
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Social networks
- Privacy Risks
- Privacy engineering and tools
- Privacy protection