Privacy Computing: Principles and Applications

in Special Issue   Posted on November 2, 2017 

Information for the Special Issue

Submission Deadline: Wed 30 May 2018
Journal Impact Factor : 5.910
Journal Name : Information Sciences
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

While more and more data including personal information is being hosted online such as cloud infrastructure, privacy leakage is becoming one of most challenging concerns in information collection, sharing or analysis. In practice, different temporal, spatial or application cases often demand different privacy protection solutions. Accordingly, most of traditional approaches are case by case or based on a specific application circumstance. It is on demand for a systematic and quantized privacy characterization towards systematic computing model describing the relationships between protection level, profit and loss as well as the complexity of integrated privacy protection models because real-world applications with privacy are changing across time, space and different domains. This special issue focuses on the new paradigm of privacy computing for principles and applications. High quality publications are solicited from engineers and scientists in academia, industry, and government to address the resulting profound challenges on principles and applications of privacy computing.

Topics of interests include, but are not limited to:

  • Fundamental principles for privacy computing
  • Privacy principles for information sensing, collection, engineering and distribution
  • Privacy protection based information hiding and sharing principles
  • Privacy preserving data publishing principles
  • Privacy information integration, synergy and storage
  • Privacy operation and modelling methodologies
  • Privacy protection methodologies and principles
  • Privacy applications in cloud, social networks, IoT and Industrial Internet
  • Privacy, security, trust, autonomy, reliability, fault-tolerance – association principles
  • Privacy, AI, Machine Learning, Data Mining and Knowledge Discovery – association principles

Submission Instructions

All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at The authors must select as “SI: PriCom” when they reach the “Article Type” step in submission process. A detailed submission guideline is available as “Guide to Authors” at:

Important Dates

  • 30/05/2018 Paper submission due
  • 30/08/2018 Review due
  • 30/10/2018 Revision due
  • 30/11/2018 Decision due
  • 30/12/2018 Final due

Guest Editors

Prof. Jinjun Chen,, Swinburne University of Technology, Australia

Prof. Laurence Yang,, St. Francis Xavier University, Canada

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