IEEE International Workshop on Security, Trust, Privacy and Analytics (STPA 2016) in conjunction with AINA 2016

AINA 2016


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


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.


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

Sachin Lodha, TCS Innovation Labs, India

Xiaodong Lin, University of Ontario Institute of Technology, Canada

Rongxing Lu, Nanyang Technological University, 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

(more to be added)


Contact Information

Arindam Pal, TCS Innovation Labs, India, Email:

Sushmita Ruj, Indian Statistical Institute, India,

Haojin Zhu, Shanghai Jiaotong University, China, Email: