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STPA 2016 - International Workshop on Security, Trust, Privacy and Analytics
https://sites.google.com/site/stpa2016/

in conjunction with The 30th IEEE International Conference on
Advanced Information Networking and Applications (AINA-2016)

Le Régent Congress Centre, Crans-Montana, Switzerland,
March 23 - 25, 2016
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Objective

Security and privacy are important aspects of computer and communications systems. With the advent of IoT and big data, analytics has become very important. The workshop stands at the confluence of security and privacy and data analytics. This workshop provides a forum for presentations of papers on these and related topics. Different from main conference, this workshop can be a platform to report results with shorter turn-around time and work in progress. In particular, students can present their papers in the workshop while attending the main conference.

There are two goals of the workshop: Privacy-preserving analytics and analytics for security. With the growing focus on big data and Internet of Things (IoT), analytics has become all the more important. A lot of information is being collected and analyzed, such as health-care data, data from social networks. These data are sensitive and needs to be protected from intrusion and misuse. Data is often stored in untrusted cloud servers. Users want to be sure that their data is not leaked or used elsewhere inappropriately. Privacy and analytics seem to be contradictory goals unless done in a systematic way. Privacy-preserving analytics is what is desired. Fortunately, in recent years there has been a thrust on this area and a number of tools and techniques have been developed. K-anonymity, Differential privacy are being widely studied. Secure and privacy preserving computations on untrusted servers are active areas of research.

The other focus of this workshop is to use analytics for security. Cybersecurity is a challenging and important area of research. Threats have multiplied and have become more complex in the last few years. Security breaches have been reported on many financial networks, social networks and defence systems. Detection of malware, anomaly detection, network traffic analysis, fraud detection, graph-based user behavior modeling and profiling has become ever more important to protect individuals and companies. Machine learning and analytics are essential tools for many of these security problems.

The aim of this workshop is to discuss about the synergy between analytics, security and privacy. STPA 2016 is an international forum for researchers, developers, and practitioners to demonstrate new ideas, techniques, and tools on security and privacy-preserving analytics and analytics for security. The workshop welcomes academia, government, industry, and contributing individuals to submit unpublished papers in theoretical and practical aspects of security, privacy and analytics.

Possible topics of interest include, but are not limited to:

Privacy preserving data mining
Differential Privacy
Anonymous Credentials
Homomorphic Encryption
Searchable Encryption
Verifiable Computation
Secure Multiparty Computation
Big data analytics for security
Malware detection
Anomaly detection
Intrusion detection
Fraud detection
Behavior analysis and profiling
Trust Management and quantification
K-anonymity/L-diversity
Big Data applications (e.g., life sciences, health informatics, geo-informatics, socio-cultural dynamics, business analytics, cybersecurity)
Secure graph analytics
Scalable tools, techniques and technologies for Big Data analytics
Streaming data analysis
Graph-Based User Behavior Modeling

Important Dates

Submission Deadline: November 13, 2015
Authors Notification: December 20, 2015
Final Manuscript: January 20, 2016
Author Registration: January 20, 2016
Conference Dates: March 23 - 25, 2016

Contribution Format

Authors are invited to submit original and unpublished papers to the workshop featuring a comprehensive technical program. All paper submissions must follow the IEEE Manuscript Templates for Conference Proceedings and in 8.5" x 11" Two-Column Format. Each submission can have at most 6 pages. Authors of accepted papers must sign an IEEE copyright release form and present their paper at the workshop. The Proceedings of the workshop will be published by the IEEE Communication Society as part of the IEEE Xplore Digital Library and distributed at AINA 2016.

Submission link

http://edas.info/newPaper.php?c=19859&track=76849

Workshop Organizers

General Co-Chairs

Prof. Kouichi Sakurai, Kyushu University, Japan
Prof. Amiya Nayak, University of Ottawa, Canada

Technical Program Co-Chairs

Prof. Sushmita Ruj, Indian Statistical Institute, Kolkata, India
Prof. Haojin Zhu, Shanghai Jiaotong University, China
Dr. Arindam Pal, TCS Innovation Labs, India

Technical Program Committee

Asma Adnane, University of Derby, UK
Hiroaki Anada, ISIT Labs, Japan
Sitaram Chamarty, TCS Innovation Labs, India
Sutanay Choudhury, Pacific Northwest National Laboratory, USA
Dinesh Garg, IBM India Research Laboratory, India
Avik Ghose, TCS Research, India
Kishan Chand Gupta, Indian Statistical Institute, India
Xiaodong Lin, University of Ontario Institute of Technology, Canada
Sachin Lodha, TCS Innovation Labs, India
Rongxing Lu, NTU, Singapore
Debnath Mukherjee, TCS Research, India
Priyadarsi Nanda, University of Technology, Sydney, Australia
Siaw-Lynn Ng, Royal Holloway, University of London, UK
Arpan Pal, TCS Innovation Labs, India
Anand Panangadan, California State University, Fullerton, USA
Francesco Parisi, University of Calabria, Italy
Amitabh Saxena, Accenture Labs, India
Andrea Tagarelli, University of Calabria, Italy
Yinglong Xia, IBM Thomas J Watson Research Center, USA

Contact Information

Arindam Pal, TCS Innovation Labs, India, Email: arindam.pal1@tcs.com
Sushmita Ruj, Indian Statistical Institute, India, Email:sush@isical.ac.in
Haojin Zhu, Shanghai Jiaotong University, China, Email: zhu-hj@cs.sjtu.edu.cn