Security and Privacy in Emerging Social Networks

The recent rise of online social networks such as Facebook, Twitter, WhatsApp, etc. have attracted lots of attentions from both academia and industries. The social networks handle massive amount of personal data and, by the nature, are subject to suffer from various security and security issues if not properly designed and managed. While the security and privacy issues and corresponding solutions are well discussed for the well-known social networks such as Facebook and Twitter, the potential threats in the recent generations of the social networks, e.g. social crowdsourcing, geosocial networks, require more investigation. The situation becomes more daunting and unpredictable as the recent advances in Big Data technologies assist to extract useful but potential privacy invasive and security harming information from massive social data.

This special session aims to provide an open venue to discuss about the security and privacy issues in emerging social networks. Topics of interest include, but are not limited to, the following scope.

  • Trust models in emerging social networks
  • Privacy models for emerging social networks
  • Access control models for emerging social networking applications
  • Anomaly detection in emerging social networks
  • New security and privacy issues in emerging social networks
  • Security and privacy frameworks and architectures for emerging social networks
  • Big data analysis techniques for emerging social networks and relevant security and privacy issues

Important Dates

  • Paper Submission Deadline: March 20, 2016 April 03, 2016 (extended)
  • Notification of acceptance: May 4, 2016
  • Camera Ready and Registration: May 19, 2016
  • Conference Dates: August 2-4, 2016

Submission instructions:

Authors who are interested in the above topics can submit their unpublished work to Security and Privacy in Emerging Social Networks in CSoNet2016 via the Springer Online Conference System at A clear indication of the motivation and comparison with prior related work should be presented. Simultaneous submissions to a journal or another conference with refereed proceedings are not allowed.

Submitted papers should be prepared in LNCS style and should not exceed 12 pages. Each paper is to be submitted electronically as a single PDF file through the Springer Online Conference System at

Note that proofs omitted due to space constraints must be placed in an appendix to be read by the program committee members at their discretion. All accepted papers must be presented by one of the authors who must register for the conference and pay the fee.


The accepted papers will be included in the proceedings of the main conference, CSoNet 2016, which will published by Springer in series Lecture Notes in Computer Science (LNCS) and will be distributed at the conference. Selected papers can be invited to publish in special issues of Journal of Combinatorial Optimization (ISI) and Computational Social Networks (Springer).


Donghyun Kim, North Carolina Central University, USA
Hongwei Du, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China

CSoNet 2016

August 2-4, 2016 - Ho Chi Minh City, Viet Nam