The annual International Conference on Future Data and Security Engineering (FDSE) is a premier forum designed for researchers and practitioners interested in state-of-the-art and state-of-the-practice activities in data, information, knowledge, and security engineering to explore cutting-edge ideas, present and exchange their research results and advanced data-intensive applications, as well as to discuss emerging issues on data, information, knowledge, and security engineering. We invite the submission of both original research contributions and industry papers. At the annual FDSE, the researchers and practitioners will not only be able to share research solutions to problems of today's data and security engineering society, but also identify new issues and directions for future related research and development work.
esides DBLP and some other major indexing systems, FDSE Proceedings have also been indexed by Scopus and listed in Conference Proceeding Citation Index (CPCI) of Thomson Reuters.
FDSE 2016 will be held in Can Tho City, Vietnam from November 23-25, 2016. Can Tho City is the biggest city of Mekong delta area of Vietnam. The conference will be held at Can Tho University of Technology (CTUT), which is the first technical - oriented university in this area.
The topics of interest include, but are not limited to:
Data models and languages
Data engineering tools and techniques
Advances in query processing and optimization
Parallel and distributed data processing
Real-time distributed data management
Data and information visualization
Context-based data analysis and applications
Outsourced database services
Data management in the cloud
Social network data analytics
Sensor databases
Data stream management
Massive dataset mining
Big data science and foundation
Big data infrastructure
Big data analytics and applications
Big data management
Big data for vertical industries
NoSQL databases
Mobile, pervasive and ubiquitous data
Internet of things
Flexible query answering systems
Advances in storage and data access methods
Crowd sourcing
Embedded databases
Scientific databases
Semantic Web and Ontologies
Security issues in big data
Data protection in smart devices
Advances in data access control techniques
Advances in data security and privacy
Security issues in outsourced database services
Security and privacy in stream data processing
Security and privacy in internet of things
Data hiding and multimedia security
Privacy-preserving data mining
Privacy-preserving in location data
Energy-efficient data security protocols
Energy-efficient cryptographic algorithms
Emerging data management systems and applications
11月23日
2016
11月25日
2016
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