The 3rd International Symposium on Privacy and Security in Cloud and Big Data (PriSec 2014)

3-5 December 2014, Sydney, Australia

co-located with The 4th IEEE International Conference on Big Data and Cloud Computing (BdCloud2014)

Sponsored by IEEE TCSC Technical Area on Privacy and Security in Cloud and Big Data


Cloud Computing and Big Data are two emerging paradigms in the recent developments of information technology. Cloud Computing enables computing resources to be provided as IT services in a pay-as-you-go fashion with high efficiency and effectiveness. Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. With Variety/Volume/Velocity/Value/Veracity/, Big Data such as medical records need to be protected in an scalable and efficient way.

Information privacy and security is one of most concerned issues for Cloud Computing due to its open environment with very limited user-side control. It is also an important challenge for Big Data as estimated by IDC. In addition, Cloud Computing and Big Data are coming together in practice. As estimated by IDC, by 2020, about 40% data globally would be touched with Cloud Computing. Cloud Computing provides strong storage, computation and distributed capability in support of Big Data processing. As such, there is a strong demand to investigate information privacy and security challenges in both Cloud Computing and Big Data. This symposium aims at providing such forum for researchers, practitioners and developers from different background areas such as distributed computing, cloud computing, big data, database, data mining, information security and privacy protection areas to exchange the latest experience, research ideas and synergic research and development on fundamental issues and applications about security and privacy issues in cloud and big data environments. The symposium solicits high quality research results in all related areas.

This is the third instalment of the symposium, following the successful events of 2013 (Karlsruhe, Germany) and 2012 (Xiangtan, China).


The objective of this symposium is to invite authors to submit original manuscripts that demonstrate and explore current advances in all aspects of security and privacy in cloud computing environments. The  symposium solicits novel papers on a broad range of topics, including but not limited to:  

Track 1: Privacy and Security in Cloud

, Privacy modelling in cloud computing
Privacy correlation between multiple services in cloud computing
, Trust based privacy protection in cloud computing
Privacy categorisation in cloud computing
Privacy models for outsourcing
Privacy preserving data publishing on cloud
, User privacy, service providers privacy and cloud platform privacy
Privacy requirements engineering on cloud
, Private information retrieval on cloud
Privacy and security in personal health records on cloud
Privacy mechanisms in cloud services
Privacy aware scheduling in cloud
Security models, levels and scenarios in cloud computing
Secure identity management in clouds
Secure data management in cloud computing
Secure access to clouds
, Remote data integrity protection
, Securing distributed data storage in the cloud
, Data-centric security and data classification
, Cost and usability models related security issues in clouds
, Interaction security between usability models in cloud computing
Secure Job deployment and scheduling on cloud
Secure resource allocation and indexing
, User authentication and authorisation in cloud services
, Auditing in cloud computing
, Cloud threat models
, Multi-tenancy related security/privacy issues
Security/privacy/trust issues in SaaS/PaaS/IaaS
Secure virtual machine mechanisms in cloud computing
, Vulnerabilities in cloud infrastructure
, Vulnerabilities in MapReduce
, Fault tolerance, exception handling and reliability issues in cloud
, Application programming environment

Track 2: Privacy and Security in Big Data

Secure quantum communications
Privacy in Big Data applications and services
Privacy in Big Data end-point input validation and filtering
Privacy in Big Data integration and transformation
Privacy in parallel and distributed computation
Privacy in Big Data storage management
Privacy in Big Data access control mechanisms
Privacy in Big Data mining and analytics
Privacy in Big Data sharing and visualization
Big Data privacy policies and standards
Security model and architecture for Big Data
Data mining security for Big Data
Software and system security for Big Data
Cryptography in Big Data
Visualizing large scale security data
Threat detection using Big Data analytics
Human computer interaction challenges for Big Data security
Data protection, integrity standards and policies
Security and legislative impacts for Big Data
Managing user access for Big Data
Scalability and auditing for Big Data

Submission Requirements

Submit your papers in PDF file at the PriSec2014 submission site: Papers should be limited up to 8 pages in IEEE format. Templates can be downloaded here for Word or LATEX. All papers will be peer reviewed by two or three PC members. Submitting a paper to the workshop means that if the paper is accepted, at least one author should register to BdCloud2014 and attend the conference to present the paper.

Publication of Papers

All accepted papers will appear in the proceedings published by IEEE Computer Society. Selected papers will be invited to special issues of BdCloud 2014 in Concurrency and Computation: Practice and Experience, Journal of Network and Computer Applications, Journal of Computer and System Sciences, and IEEE Transactions on Cloud Computing.

Important Dates

Deadline for Paper Submission:           September 5, 2014 (extended, firm)

Notification of Acceptance:                  September 25, 2014

Camera Ready Copies:                        October 15, 2014

General Chairs:

Chita R. Das, Pennsylvania State University, USA
Vijay Varadharajan, Macquarie University, Australia

Program Committee Chairs:

Deepak Puthal, University of Technology, Sydney, Australia
Chang Liu, University of Technology, Sydney, Australia
Rajiv Ranjan, CSIRO, Australia
Jinjun Chen, University of Technology, Sydney, Australia

Program Committee:

Cristina Alcaraz, University of Malaga, Spain

Shlomi Dolev, Ben-Gurion University, Israel

Yevgeniy Vahlis, University of Toronto Canada

Guenther Pernul, University of Regensburg, Germany 

Charles Morisset, Newcastle University, UK 

David Naccache, ENS, France

Dieter Gollmann, TU Hamburg-Harburg, Germany

Yang Xiang, Deakin University, Australia

Bibhudatta Sahoo, NIT Rourkela, India

Kartik Gopalan, SUNY C Binghamton, USA

Joanna Kolodziej, Cracow University of Technology, Poland

Yves-Alexandre de Montjoye, MIT, USA

Henrik Johnsson, Blekinge Institute of Technology, Sweden 

Ching-Hsien Hsu, Chung Hua University, Taiwan 

Biswapratap Singh Sahoo, National Central University, Taiwan

Zeeshan Hameed, QMIC, Qatar

Roberto Di Pietr, Bell Labs, France

Rino Falcone, ISTC-CNR, Italy

Stefano Guarino, Universit┐ degli Studi Roma Tr, Italy

Abhinav Srivastava, AT&T Labs, USA

Siani Pearson, HP Labs, UK

Changhoon Lee, Seoul National University of Science and Technology, Korea

Nour Ali, University of Brighton, UK

Wei Wei, Xi'an University of Technology, China

Sherman S. M. Chow, Chinese University of Hong Kong

Stefano Paraboschi, Universit┐ degli Studi di Bergamo, Italy

Ramlan Mahmood, University Putra Malaysia