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

[Qin Liu]

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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:

http://www.spaccs.org/trustdata2020/




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Special Issues Section

1.Multimedia Tools and Applications

Special Issue: Blockchain-based multimedia security(SI:1159T)

https://www.springer.com/journal/11042/updates/17192684

Publisher: Springer, IF = 2.101




2.International Journal of Distributed Sensor Networks

Special Issue: Special Collection on Security and Privacy in Internet of Things

https://journals.sagepub.com/page/dsn/collections/special-issues/security-and-privacy-in-internet-of-things

Publisher: SAGE journals




* More special issues will be added later. 

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Introduction

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

 

Webmaster

Yuzhu Ning, Hunan University, China

 

 

Contact

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/