Special Issue on Theories, Algorithms and Modeling for Privacy Computing
摘要截稿:
全文截稿: 2019-01-30
影响因子: 2.296
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:理论方法 - 3区
Overview
With more data including personal information being hosted online such as cloud, privacy leakage is becoming one of serious concerns in online community. In practice, different temporal, spatial or application cases often demand different privacy protection solutions. Most of traditional approaches are case by case or based on a specific application circumstance. Therefore, we need to develop 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 Privacy computing is emerging as a paradigm to systematically scope privacy protection and related techniques. This special issue focuses on fundamental challenges of privacy computing – theories, algorithms and modelling while applications and general principles are not in the focus. Papers on theoretical foundations and algorithms with strong analytical contributions are encouraged for submission.
Topics of interests include, but are not limited to:
- Parallel, Distributed and Scalable modelling for privacy protection
- Theories and foundations for privacy computing
- Languages and compilers for privacy computing
- Privacy computing model and modelling
- Privacy quantification, formal description
- Privacy operation and modelling
- Data utility and privacy loss theories
- Context adaptive cryptology for privacy protection
- Data analytics oriented privacy models and reasoning