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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 that is beyond the ability of commonly used computer software and hardware tools to capture, manage, and process within a tolerable elapsed time. It has been widely recognised that security and privacy are the critical challenges for Social Networks and Big Data applications due to their scale, complexity and heterogeneity.
The 4th International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec 2018) will be held at Santa Clara University in Santa Clara, CA, USA on 10-12 December 2018. It follows the success of SocialSec 2015 in Hangzhou, China, SocialSec 2016 in Fiji, and SocialSec 2017 in Melbourne, Australia. The aim of the symposium is to provide a leading edge forum to foster interactions between researchers and developers with the security and privacy communities in Social Networks and Big Data, and to give attendees an opportunity to interact with experts in academia, industry, and governments.
Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 8 pages in A4 format, including tables, figures, references and appendixes, in IEEE Computer Society proceedings format with Portable Document Format (.pdf). Please refer to IEEE Manuscript Templates for Conference Proceedings for preparing the submission.
The symposium seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and privacy in Social Networks and Big Data. Papers describing case studies, implementation experiences, and lessons learned are also encouraged. Topics of interest include but are not limited to:
Attacks in/via social networks
Information control and detection
Malicious behavior modeling in social networks
Malicious information propagation via social networks
Phishing problems in social networks
Privacy protection in social networks
Big data analytics for threats and attacks prediction
Spam problems in social networks
Trust and reputations in social networks
Big data outsourcing
Big data forensics
Security and privacy in big database
Applied cryptography for big data
Big data system security
Mobile social networks security
Security and privacy in cloud
Forensics in social networks and big data