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Big Data: Privacy, Security, and Analyti 2015 : Big Data: Privacy, Security, and Analytics


When Apr 20, 2015 - Apr 22, 2015
Where Prague, Czech Republic
Submission Deadline Jan 30, 2015
Notification Due Feb 15, 2015
Final Version Due Mar 30, 2015

Call For Papers

Call for Papers on ICCMIT 2015:

“Big Data: Privacy, Security, and Analytics”

Objectives and Motivation

Big Data computing and applications are becoming a hot research and application field for academic researchers, application service providers and users including industrial organizations and governments. While Big Data creates huge opportunities in government planning and services, healthcare improvement, and business growth, and job creation, it also brings great challenges in data management, data analytics, data security and privacy. Computing and information researchers have to study the traditional scientific and technological issues in the big data scenario featured with 3Vs - huge volume, high velocity, and great variety. At the same time, the researchers have to also deal with the huge social issues and impacts caused by big data, such as privacy.

The conference session titled “Big Data: Privacy, Security, and Analytics” is intended to provides an opportunity for researchers and practitioners from different countries and social backgrounds to exchange their ideas and thoughts, theories, techniques, and solutions in the research field. The conference session welcomes theoretical, technical and empirical papers from all areas of research in regard to the study of big data, especially in privacy, security, and analytics.

Scope and Interests

Beyond traditional record-level access control, security and privacy issues for information sharing and control in Big Data use cases embrace emerging challenges and research opportunities in various perspectives. We need to rethink security and privacy for information sharing in Big data paradigm, such as how to explicitly or semantically represent scalable policy and access control mechanism not only to provide users with the sharing of heterogeneous Big data resources, but also to give users fine-grained control over the sharing to allow them to access services and results of Big Data at various scales and granularity in complying with scalable and context-aware access control policy.

This conference session may include, but not limit to, the following topics:
• Big Data scalable computing models and analytic algorithms
• Big Data collections, processing, and validation
• Big Data security issues
• Big Data privacy issues
• Big Data governance and polity
• Big Data management and deployment
• Big Data mining and predictive analytics

Important Dates
Paper abstract submission: until January 30, 2015
Notification of acceptance: February 15, 2015
Final paper submission and authors camera ready: March 30, 2015
Conference Dates: April 20-22, 2015
All instructions and templates for submission can be found in the ICCMIT 2015 web site: Please, contact the special session organizers if you are planning to submit any paper.

Organized by:
Prof. Qing Tan, Harris Wang, Xiaokun Zhang
School of Computing and Information Systems
Faculty of Science and Technology
Athabasca University,,

Related Resources

DISP 2018   Special Issue on Data Intelligence in Security and Privacy, Journal of Information Security and Applications
Cyber Security 2018   IEEE International Conference on Cyber Security and Protection of Digital Services
SACMAT 2018   23rd ACM Symposium on Access Control Models and Technologies
ICDIS 2018   2018 First International Conference on Data Intelligence and Security
ICDM 2018   18th Industrial Conference on Data Mining ICDM 2018
TrustCom 2018   The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications
IEEE - ICBDA 2018   2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018)--IEEE Xplore and Ei Compendex
FI-IoTSP 2018   Future Internet Journal: Special Issue on IoT Security and Privacy
Future_Internet-SI 2017   Futute Internet - Special Issue on Security and Privacy in Wireless and Mobile Networks
IEEE TETC SI 2017   IEEE Transactions on Emerging Topics in Computing, Special Issue on Scholarly Big Data