[FM-India] TrustData 2020 CFP : Nanjing, China, Oct 23-25, 2020

Qin Liu gracelq628 at 126.com
Fri Feb 14 17:50:19 IST 2020

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Call for Papers for the 11th International Workshop on Trust, Security  and Privacy for Big Data (TrustData 2020)
Venue & Dates: 
Nanjing, China, Oct 23-25, 2020
Conference Website:

Special Issues Section
1. Future Generation Computer Systems
  Special Issue on Artificial Intelligence: The Security & Privacy Opportunities and Challenges for Emerging Applications
  Publisher: Elsevier, IF: 4.639

2. IEEE Access
  Special section on IoT attacks and defence
  Publisher: IEEE, IF: 4.098

3. Multimedia Tools and Applications
  Special Issue: Blockchain-based multimedia security(SI:1159T)
  Publisher: Springer, IF = 2.101

4. International Journal of Distributed Sensor Networks
  Special Issue: Security and Privacy in Internet of Things
  Publisher: SAGE journals, IF = 1.614

5. Wireless Communications and Mobile Computing (WCMC) Journal
  Special Issue: Security and Privacy in New Computing Environments
  Publisher: Hindawi, IF: 1.396

6. Security and Communication Networks
  Special Issue: Machine Learning for Wireless Multimedia Data Security
  Publisher: Hindawi, IF: 1.376

7. Concurrency and Computation Practice and Experience, IOS Press
  Special Issue: Special Issue on Secure Smart World (S2World2020)
  Publisher: WILEY, IF: 1.114

8. Connection Science
  Publisher: Taylor & Francis Online, IF: 0.673

9. Digital Communications and Networks
  Special Issue: Security and Privacy Protection in the Era of IoT Devices
  Publisher: KeAi
* More special issues will be added later. 

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
TrustData2020 is a part of SpaCCS 2020(http://www.spaccs2020.com/),  13th International Conference on 
Security, Privacy and Anonymity in Computation, Communication and Storage. 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
(12) Secure quantum communications
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 12 pages  (or 16 pages with the over length charge), including tables, figures, references and appendixes, in Springer LNCS Format (http://www.springer.com/cn/computer-science/lncs/conference- proceedings-guidelines)  with Portable Document Format (.pdf). Please submit your paper at https://easychair.org/conferences/?conf=trustdata2020. Authors (at least one) of any accepted paper are requested to register at the conference.
Important Dates
Paper Submission Deadline:    May 23, 2020
Author Notification:          Jul.23, 2020
Camera-Ready Paper Due:       Aug.23, 2020
Conference Dates:             Oct 23-25, 2020
General Chairs
Qin Liu, Hunan University, China
Arun Kumar Sangaiah, VIT University, India
Wei Chang, Saint Joseph's University, USA

Program Chairs
Jiankun Hu, University of New South Wales at the Australian, Australia
Isaac Agudo, University of Malaga, Spain
Publicity Chairs
Weiwei Chen, Hunan University, China
Bo Ou, Hunan University, China
Yuzhu Ning, Hunan University, China
Please email inquiries concerning TrustData 2020 to:
Qin Liu: gracelq AT 126 DOT com 
LQ's new homepage:
Homepage: http://res.hnu.edu.cn/hbs/lq/

Dr. Qin Liu
College of Computer Science and Electronic Engineering
Hunan University
Changsha, Hunan Province,P.R. China, 410082
Mobile: +86-13548577157
Email: gracelq628 at hnu.edu.cn; gracelq628 at 126.com
Homepage: http://res.hnu.edu.cn/hbs/lq/

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