Special Issue on Privacy Computing: Principles and Applications
摘要截稿:
全文截稿: 2018-05-30
影响因子: 5.91
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 1区
• 小类 : 计算机:信息系统 - 1区
Overview
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