CFP for Special session on Big Data Security and Privacy

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. Such datasets are larger than those conventional relational database infrastructures can cope (Volume) with increased rate at which data flows into an organization (Velocity) from diverse data source (Variety). Further, establishing trust in big data presents a huge challenge as the number of resources grows (i.e., veracity). How can we cope with uncertainty, imprecision, missing values, wrong statements or untruths? Also, Big Data has the potential for new and valuable insights. The biggest challenge is to extract value from data (Value). From security perspective, there are two distinct issues: security the organization and customer’s information in a Big Data context; and using Big Data techniques to analyze and predict security incidents.

Using Big Data approaches, one can obtain the holistic data view to gain the fullest understanding of consumer interactions, intent and value possible. Consumer being the focus of any brand, Big Data gives us an unparalleled opportunity to gain insight into consumer behavior, generate revenue and revolutionize the brand - customer relationship. As many businesses are aware, storing data using Big Data does not remove their responsibility for protecting it - from both a regulatory and a commercial perspective. Encryption and access control techniques are necessary to protect sensitive data.

Big Data can be used to build more practical and successful Security Incident and Event Management systems (SIEM), Intrusion Detection System (IDS), and Intrusion Prevention System (IPS). In summary, Big Data expands the boundaries of existing information security responsibilities and introduces significant new risks and challenges.

The Big Data Security and Privacy track has been proposed to provide a prime international forum for researchers, industry practitioners and other experts to exchange the advances in security and privacy aspects of Big Data with respect to consumers.

The objective of this track is to invite authors to submit original manuscripts that demonstrate and explore current advances in all security and privacy aspects of Big Data with respect to consumers. The contributions requested include but are not limited to:

Anomaly Detection in Very Large Scale Systems
Security Issues Around Big Data in Cloud
High Performance Cryptography
Visualizing Large Scale Security Data
Threat Detection using Big Data Analytics
Privacy Threats of Big Data
Privacy Preserving Big Data / Analytics
Trust Reputation Systems using Big Data
Techniques preventing nefarious use of Big Data
Reports on critical, real-life security and trust use cases related to Big Data
Compliance / Legal issues
Sociological Aspects of Big Data Privacy
We encourage submissions of high-quality technical papers reporting original research that has not been previously published, and is not currently submitted for consideration elsewhere. The special session papers will be treated the same as the main technical track papers in terms of formatting, reviewing, quality control, inclusion into proceedings, author registration and attendance.

Special Session Chair:
Haiyong Xie, Huawei Technologies, U.S.A

PC Co-chairs:
Dr. Neelanarayanan Venkataraman
Professor, School of Computing Science and Engineering,
VIT University – Chennai Campus,
Chennai – 600 127, Tamil Nadu, India.
neelanarayanan.v@vit.ac.in
Mobile: +91 75985 64593

Dr. Vijayakumar Varadarajan
Professor, School of Computing Science and Engineering,
VIT University – Chennai Campus,
Chennai – 600 127
Vijayakumar.v@vit.ac.in

Technical Program Committee
Balaji Rajendran, Centre for Development of Advanced Computing, India

Balakrishnan, NUS, Singapore

Biju Paniker, Infosys Technologies

Damodar Malagi, Tata Motors

Gomatinayagam, Mahindra Satyam

Muthukumar, Meenakshi University, India

Nithya, Vinayaka Missions University, India

Pramod S Pawar, London University College, UK

Rupesh, Thirdware Technologies

Rao, IT University of Copenhagen, Denmark

Sivakumar, Madras Institute of Technology, IndiaSubra

manian, Centre for Development of Advanced Computing, IndiaS

ubramanisami, Sastra University, India

Vijayakumar, Anna University, India

Important dates:

Submission Due: September 13, 2013
Notification of Acceptance: October 11, 2013
Camera-Ready Due: November 1, 2013

Paper Format and Submission:
Format: http://ccnc2014.ieee-ccnc.org/authors
EDAS submission http://edas.info/newPaper.php?c=14867a