Conference Information
FDSE 2016 : International Conference on Future Data and Security Engineering
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Can Tho City, Vietnam
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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 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.

After two successful events, FDSE 2014 and FDSE 2015, which were held in Ho Chi Minh City, Vietnam, FDSE 2016 will be held in Can Tho City, Vietnam from November 23-25, 2016. Can Tho City is the biggest city in 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.


All accepted papers will be published by Springer Verlag in a volume of the Lecture Notes in Computer Science series (LNCS). The LNCS from Springer is a well-known series of computer science books that covers research and development from all areas of computer science. Further details of the list of forthcoming proceedings that will be published in LNCS can be found at

Notably, besides DBLP and some other major indexing systems, FDSE 2015 Proceedings (LNCS 9446) has also been indexed by Scopus:

Selected papers, after further revision and extension, will be considered for publication in a special issue of the Transactions on Large Scale Data and Knowledge Centered Systems (TLDKS), ISSN: 1869-1994, also with Springer Verlag.

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
    Knowledge-based and expert systems
    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
Last updated by Dou Sun in 2016-02-22
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