-------- Forwarded Message -------- Subject: [AISWorld] Call for paper - Information Sciences SI on Privacy Computing: Principles and Applications Date: Sun, 20 May 2018 17:36:52 +1000 From: Jesson Butt jesson.butt@gmail.com To: aisworld@lists.aisnet.org
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-au... .
*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@gmail.com, Swinburne University of Technology, Australia
Prof. Laurence Yang, ltyang@gmail.com, St. Francis Xavier University, Canada _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org