BigTrust 2016 - The 1st International Workshop on Trust, Security and Privacy for Big Data

Big Data has the potential for enabling new insights to change science, engineering, medicine, healthcare, finance, business, and ultimately society itself. Current work on Big Data focuses on information processing such as data mining and analysis. However, trust, security and privacy of Big Data are vital concerns that have received less research focus. Regarding the above context, this workshop proposal is aimed at bringing together people from both academia and industry to present their most recent work related to trust, security and privacy issues in Big Data, and exchange ideas and thoughts in order to identify emerging research topics and define the future of Big Data.
Topics
The scope and interests for the special issue include but are not limited to the following list:
Big Data Science, Foundations, and applications
? Novel Theoretical Models for Big Data.
? New Computational Models for Big Data.
? Data and Information Quality for Big Data.
? High Performance/Parallel Computing Platforms for Big Data .
? Energy-efficient Computing for Big Data.
? Big Data Search Architectures, Scalability and Efficiency.
? Visualization Analytics for Big Data.
? Data Acquisition, Integration, Cleaning, and Best Practices .
Trust in Big Data
? Trust semantics, metrics, and models for Big Data.
? Trust management and evaluation for Big Data.
? Trusted systems, software, and applications for Big Data.
? Trusted platform implementation technologies for Big Data.
? Information quality/trustworthiness for Big Data.
? Provenance of content for Big Data.
? Trustworthiness of ratings/recommender systems for Big Data.
Security & Privacy in Big Data
? Security model and architecture for Big Data.
? Software and system security for Big Data.
? Cryptography in Big Data.
? Big Data privacy policies and standards.
? Anonymization techniques for big data.
? Security and Privacy in Big Data sharing and visualization.
? Security and Privacy in Big Data access control mechanisms.
? Security and Privacy in Big Data mining and analytics.
Organizers
? Dr. Qin Liu, Hunan University, China
? Dr. MD Zakirul Alam, Temple University, USA
Procedure for selecting papers, plans for dissemination
BigTrust 2016 welcomes original submissions that have not been published and that are not under review by another conference or journal. To respect the workshop's aim, at least one author has to be a PhD student or recent PhD graduate. All submitted papers will be peer-reviewed by BigTrust's technical program committee. All submissions will be evaluated on significance, presentation, and interest to the workshop attendees.