[hpc-announce] CFP: PriSec 2014 (Privacy and Security in Cloud and Big Data), 3-5 December 2014, Sydney, Australia.

DEEPAK PUTHAL dputhal88 at gmail.com
Thu Jul 3 23:39:31 CDT 2014


[Apologies if you receive multiple copies of this message]

 *Call for papers:*

The 3rd International Symposium on Privacy and Security in Cloud and Big
Data (PriSec 2014), 3-5 December 2014, Sydney, Australia


Website: http://www.swinflow.org/confs/prisec2014/

Important dates:
Deadline for Paper Submission:           *July 30, 2014*

Notification of Acceptance:                  September 25, 2014

Camera Ready Copies:                       October 15, 2014


Submissions: https://www.easychair.org/conferences/?conf=prisec2014

Publications:
All accepted papers will appear in the proceedings published by IEEE
Computer Society (EI indexed). Selected papers will be invited to special
issues of BdCloud 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.


------------
Introduction:
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).


Scope and Topics:
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 Guidelines:
Submit your papers in PDF file at the PriSec2014 submission site:
https://www.easychair.org/conferences/?conf=prisec2014. Papers should be
limited up to 8 pages in IEEE format. Templates can be downloaded here for
Word <http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_8.5x11x2.zip> or LATEX
<http://kpnm.hnust.cn/confs/cgc2012/IEEECS_CPS_LaTeX_Letter_2Col.zip>. 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 BdCloud <http://www.swinflow.org/confs/bdcloud2014>2014
<http://www.swinflow.org/confs/bdcloud2014> and attend the conference to
present the paper.


Publications:
All accepted papers will appear in the proceedings published by IEEE
Computer Society (EI indexed). Selected papers will be invited to special
issues of BdCloud 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.



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 Committees:
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 - 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, Università 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, Università degli Studi di Bergamo, Italy

Ramlan Mahmood, University Putra Malaysia
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