Conference Information
FDSE 2018: International Conference on Future Data and Security Engineering
http://www.cse.hcmut.edu.vn/fdse2018/
Submission Date:
2018-06-20
Notification Date:
2018-08-25
Conference Date:
2018-11-28
Location:
Ho Chi Minh City, VietNam
Years:
5
Viewed: 12701   Tracked: 2   Attend: 0

Call For Papers
AIMS AND SCOPE

The annual FDSE conference is a premier forum designed for researchers, scientists, 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. At the annual FDSE, the researchers, scientists and practitioners are not only able to share research solutions to problems of today’s data and security engineering themes, but also able to identify new issues and directions for future related research and development work.

After the last four successful events, FDSE 2014 and FDSE 2015 (Ho Chi Minh City, Vietnam), FDSE 2016 (Can Tho City, Vietnam), and FDSE 2017 (Ho Chi Minh City, Vietnam), FDSE 2018 will be held from November 28-30, 2018, also in Ho Chi Minh City, Vietnam. The conference will be held in the main campus of HCMC University of Technology (HCMUT), which is among the most prestigious universities in Vietnam.

PUBLICATION

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 ftp://ftp.springer.de/pub/LNCS_FCP.pdf.

FDSE Proceedings have been indexed in Scopus, EI Compendex, DBLP, and listed in Conference Proceeding Citation Index (CPCI) of Thomson Reuters.

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.
Last updated by Dou Sun in 2018-03-05
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