[ogsa-wg] Call for paper - Information Sciences SI on Privacy Computing: Principles and Applications

[Jesson Butt]

Call for paper - Information Sciences SI on Privacy Computing: Principles
and Applications


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
http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). 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: http://www.elsevier.com/journals/information-sciences/0020-
0255/guide-for-authors.





*Important Dates*

·         30/05/2018      Paper submission due (can be by 15 June 2018 at
latest)

·         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, Jinjun.Chen at gmail.com, Swinburne University of
Technology, Australia

Prof. Laurence Yang, ltyang at gmail.com, St. Francis Xavier University, Canada
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