posted by user: ZhengYan || 4831 views || tracked by 7 users: [display]

TrustData 2013 : the 2013 International Workshop on Trust, Security and Privacy for Big Data


When Nov 13, 2013 - Nov 15, 2013
Where Zhangjiajie, China
Submission Deadline Jun 15, 2013
Notification Due Aug 15, 2013
Final Version Due Sep 15, 2013
Categories    security   trust   privacy   data management

Call For Papers


The proliferation of new technologies such as Internet of Things and cloud computing
calls for innovative ideas to retrieve, filter, and integrate data from a large number
of diverse data sources. Big Data is an emerging paradigm applied to datasets whose
volume/velocity/variability is beyond the ability of commonly used software tools to
manage and process the data within a tolerable period of time. More importantly, Big
Data has to be of high value, and should be protected in an efficient way. Since Big
Data involves a huge amount of data that is of high-dimensionality and inter-linkage,
existing trust, security, and privacy measures for traditional databases and
infrastructures cannot satisfy its requirements. Novel technologies for protecting Big
Data are attracting researchers and practitioners with more and more attention.

Scope and Interests

The 2013 International Workshop on Trust, Security and Privacy for Big Data (TrustData-13)
aims to bring 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 of interest include, but are not limited to:

Trust Track
(1) Trust semantics, metrics, and models for Big Data
(2) Trust management and evaluation for Big Data
(3) Trusted systems, software, and applications for Big Data
(4) Trusted platform implementation technologies for Big Data
(5) Information quality/trustworthiness for Big Data
(6) Provenance of content for Big Data
(7) Trustworthiness of ratings/recommender systems for Big Data

Security Track
(1) Security model and architecture for Big Data
(2) Data mining security for Big Data
(3) Software and system security for Big Data
(4) Intrusion detection for Gigabit Networks
(5) Cryptography and Big Data
(6) Visualizing large scale security data
(7) Threat detection using Big Data analytics
(8) Human computer interaction challenges for Big Data security
(9) Data protection, integrity standards and policies
(10) Security and legislative impacts for Big Data
(11) Managing user access for Big Data

Privacy Track
(1) Privacy in Big Data applications and services
(2) Privacy in Big Data end-point input validation and filtering
(3) Privacy in Big Data integration and transformation
(4) Privacy in parallel and distributed computation
(5) Privacy in Big Data storage management
(6) Privacy in Big Data access control mechanisms
(7) Privacy in Big Data mining and analytics
(8) Privacy in Big Data sharing and visualization
(9) Big Data privacy policies and standards

Submission and Publication Information

The accepted papers from this workshop will be published by Springer Lecture Notes in
Computer Science (EI indexed). Submitted papers must not substantially overlap with
papers that have been published or that are simultaneously submitted to a journal or a
conference with proceedings. Papers must be clearly presented in English, must not
exceed 10 pages (or 14 pages with the over length charge), including tables, figures,
references and appendixes, in Springer LNCS Format with Portable Document Format (.pdf).
Please submit your paper at

Papers will be selected based on their originality, timeliness, significance, relevance,
and clarity of presentation. Distinguished papers, after further revisions, will be
considered for possible publication in several SCI & EI indexed special issues of prestigious
international journals. By submitting a paper to the workshop, authors assure that if the paper
is accepted, at least one author will attend the workshop and present the paper.
For no-show authors, their papers will be removed from the digital library after the workshop
and their affiliations will be notified.

Important Dates

(1) Paper Submission Deadline: June 15, 2013
(2) Authors Notification: August 15, 2013
(3) Camera-Ready Paper Due: September 15, 2013
(4) Conference Dates: November 13-15, 2013

General Co-Chairs

Guojun Wang, Central South University, China
Jin-Hee Cho, U.S. Army Research Laboratory, USA
Lizhe Wang, Chinese Academy of Sciences, China

Program Co-Chairs

Qin Liu, Central South University, China
Muhammad Bashir Abdullahi, Federal University of Technology, Minna, Nigeria
Yongming Xie, Guangzhou University, China

Program Committee (In alphabetical order)

Publicity Co-Chairs

Zheng Yan, Xidian University, China/Aalto University, Finland
Peter Mueller, IBM Zurich Research Laboratory, Switzerland
Weirong Liu, Central South University, China


Jie Wang, Central South University, China


Please email inquiries concerning TrustData 2013 to:
Prof. Guojun Wang: csgjwang AT gmail DOT com
and the symposium organizers: trustdata2013 AT gmail DOT com

Copyright @ Trusted Computing Institute, CSU

Related Resources

TPSA 2021   2nd Workshop on Trust, Privacy and Security Aspects in Process Analytics
IEEE COINS 2021   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
Sensors (MDPI) SI 2021   Sensors SI on Security, Trust and Privacy in New Computing Environments
IJACEEE 2021   International Journal of Applied Control, Electrical and Electronics Engineering
CEVVE 2021   2021 International Conference on Electric Vehicle and Vehicle Engineering (CEVVE 2021)
ICCWS 2022   17th International Conference on Cyber Warfare and Security
Spec.Issue on Social Informatics: Scopus 2021   Journal of Social and Business Informatics - Acta Informatica Pragensia
SI on ATD&IS 2021   Special Issue on Advanced Technologies in Data and Information Security, Applied Sciences, MDPI
DPM 2021   Data Privacy Management
IJAIT 2021   International Journal of Advanced Information Technology