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Submit a Manuscript to the Journal
Connection Science

For a Special Issue on
Security and Privacy in Social Networks

Manuscript deadline
15 January 2023

Cover image - Connection Science

Special Issue Editor(s)

Xiaofeng Chen, Xidian University
[email protected]

Xinyi Huang, Fujian Normal University
[email protected]

Mirosław Kutyłowski, Wrocław University of Science and Technology
[email protected]

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Security and Privacy in Social Networks

Social Networks and Big Data have pervaded all aspects of our daily lives. With their unparalleled popularity, social networks have evolved from the platforms for social communication and news dissemination, to indispensable tools for professional networking, social recommendations, marketing, and online content distribution. Social Networks, together with other activities, produce Big Data with five characteristics (volume, variety, value, velocity, veracity) beyond the ability of commonly used computer software and hardware tools to capture, manage, and process within a tolerable elapsed time.

Driven by the growing data capacity, the core of big data research is how to excavate the knowledge of data. However, the big data generated from social networks and other activities often contains much private information that cannot be compromised by a series of exploration and applications. Fortunately, it has been widely recognized that security and privacy are the critical challenges for Social Networks and Big Data applications due to their scale, complexity and heterogeneity. Security and privacy in social networks and big data receive an increasingly popular favor in the area of cyber security. More and more researchers are attracted to make a concrete contribution to SocialSec, evidenced by over 30,000 results since 2021 on Google Scholar with searching ‘Security and Privacy in Social Network’.

SocialSec has a long way to go because there are several new research challenges in SocialSec, for example, forensic issues in social networks and big data, lack of reliable data, imbalanced benign-malicious dataset, attacker-defender game, and the tragedy of metrics. This special issue calls for contributions from the areas of social networks and big data to address the research challenges in SocialSec. It will bring together researchers to publish state-of-art research findings in SocialSec, focusing on theoretical and applied techniques.


The aim of the proposed special issue is to promote research and reflect the most recent advances in security and privacy in social networks and big data, with emphasis on the following aspects, but certainly not limited to:

  •  Security and privacy in big database;
  • Anomaly detection using data mining;
  • Big data outsourcing;
  • Malicious behavior modeling in social networks;
  • Adversarial machine learning;
  • Applied cryptography for big data;
  • Information leakage attack and defense;
  • Big data system security;
  • Security and privacy in cloud;
  • Mobile social networks security;
  • Privacy protection in social networks;
  • Big data system security;
  • Big data analytics for threats and attacks prediction;
  • Big data analytics for cybersecurity.

Paper Solicitation

This issue is an open special issue where everyone is encouraged to submit papers. We will solicit papers in two ways: conference and open call-for-papers.

1. The 8th International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec 2022)

The symposium aims to provide a leading edge forum to foster interactions between researchers and developers regarding the security and privacy communities in Social Networks and Big Data, and allow attendees an opportunity to interact with experts in academia, industry, and governments. Based on the very positive feedback from SocialSec 2021, we see security and privacy in Social Networks and Big Data is becoming a hot research direction and has attracted a lot of researchers. The organization committee of SocialSec 2022 has prepared the conference for more than 6 months. Now the conference has very strong TPC members from 10 different countries and a number of world-famous scientists to give keynote talks, in this case it will attract sufficient high-quality papers. This year, we aim to bring the submission number to a level of 100+ and make it a successful and sustainable conference. After critical evaluation, Springer has agreed to publish our conference preceding in the Springer CCIS series. The conference website is https://socialsec2022.xidian.edu.cn/.

We plan to select the top-quality papers from the accepted papers based on the reviews (comments and scores with respect to originality and correctness) and the presentations during the conferences. Each selected paper must be substantially extended, with at least 50% difference from its conference version.

2. Open Call-For-Papers

We plan to publicize an open call-for-papers (CFP) by listing the CFP on major academic announcement mailing lists/websites and sending the CFP to active researchers in the areas around the world. We estimate there will be a number of submissions via the open call-for- papers. Then we plan to select another few papers from the submissions.

Each paper (including the selected papers from the conference) will go through a rigorous peer-review process by at least three international researchers. In total, we plan to include 8-12 papers in this special issue. The acceptance rate will be fairly low but we regard quality as our top priority. The anticipated readers of this special issue include both academic and industrial researchers working in relevant areas of security, privacy, social networks and big data.

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