IEEE-3rd International Workshop on Privacy and Security of Big Data
(PSBD 2016)
December 8, 2016, Washington, D.C., USA

Aim and Scope :

Following the successful event represented by the 2nt International Workshop on Privacy and Security of Big Data (PSBD 2015), held in conjunction with the 2015 IEEE International Conference on Big Data (BigData 2015), in Santa Clara, CA, USA, during October 29, 2015, and the 1st International Workshop on Privacy and Security of Big Data (PSBD 2014), held in conjunction with The 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), in Shanghai, China, during November 7, 2014, the 3rd International Workshop on Privacy and Security of Big Data (PSBD 2016) focuses the attention on privacy and security research issues in the context of Big Data, a vibrant and challenging research context which is playing a leading role in the Database research community. Indeed, while Big Data is gaining the attention from the research community, also driven by some relevant technological innovations (like Clouds) as well as novel paradigms (like social networks), the issues of privacy and security of Big Data represent a fundamental problem in this research context, due to the fact Big Data are typically published online for supporting knowledge management and fruition processes and, in addition to this, such data are usually handled by multiple owners, with possible secure multi-part computation issues.

Some of the hot topics in the context privacy and security of Big Data include: (i) privacy and security of Big Data integration and exchange; (ii) privacy and security of Big Data in data-intensive Cloud computing; (iii) system architectures in support of privacy and security of Big Data, e.g., GPUs: (iv) privacy and security issues of Big Data querying and analysis.

The PSBD 2016 workshop focuses on all the research aspects of privacy and security of Big Data. Among these, an unrestricted list is the following one:

• Privacy of Big Data: Fundamentals
  
• Privacy of Big Data: Modelling
  
• Privacy of Big Data: Statistical Approaches
  
• Privacy of Big Data: Novel Paradigms
  
• Privacy of Big Data: Innovative Protocols
  
• Privacy of Big Data: Algorithms
  
• Privacy of Big Data: Query Optimization
  
• Privacy of Big Data: Non-Conventional Environments (e.g., Spatio-Temporal Data, Streaming Data, Cloud Data, Probabilistic Data, Uncertain Data)
  
• Privacy of Big Data: Systems
  
• Privacy of Big Data: Architectures
  
• Privacy of Big Data: Advanced Topics (e.g., NoSQL Databases)
  
• Privacy of Big Data: Case Studies and Applications
  
• Security of Big Data: Fundamentals
  
• Security of Big Data: Modelling
  
• Security of Big Data: Statistical Approaches
  
• Security of Big Data: Novel Paradigms
  
• Security of Big Data: Innovative Protocols
  
• Security of Big Data: Algorithms
  
• Security of Big Data: Query Optimization
  
• Security of Big Data: Non-Conventional Environments (e.g., Spatio-Temporal Data, Streaming Data, Cloud Data, Probabilistic Data, Uncertain Data)
  
• Security of Big Data: Systems
  
• Security of Big Data: Architectures
  
• Security of Big Data: Advanced Topics (e.g., NoSQL Databases)
  
• Security of Big Data: Case Studies and Applications

Important Dates :

• Paper submission: October 10, 2016
  
• Notification of acceptance: November 1, 2016
  
• Camera-ready paper due: November 15, 2016
  
• Workshop: December 8, 2016

User Name : shaun
Posted 03-10-2016 on 10:09:51 AEDT

Related CFPs

AIDMK 2026   14th International Conference on Artificial Intelligence, Data Mining & Knowledge Management (AIDMK 2026)
CSEN 2026   13th International Conference on Computer Science and Engineering (CSEN 2026)
NLP 2026   15th International Conference on Natural Language Processing
ITCS 2026   15th International Conference on Information Technology Convergence and Services (ITCS 2026)