[Om-announce] TrustData2022 CFP: Zhangjiajie, China, November 15-18, 2022

[Qin Liu]

**************************************************************************************************

We apologize if you receive multiple copies of this TrustData 2022 CFP.

We appreciate your great help if you forward this TrustData 2022 CFP to your colleages and friends.

**************************************************************************************************

Call for Papers for the 13th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2022)

 

Venue & Dates: 

Zhangjiajie, China, November 15-18, 2022

Conference Website:

http://ubisecurity.org/TrustData/2022/




-------------------------------------------------------------------------------------------------




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

TrustData 2022 is a part of UbiSec 2022 (http://ubisecurity.org/2022/),  the Second International Conference on Ubiquitous Security. 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 in the conference proceedings with Springer Communications in Computer and Information Science (CCIS) . 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.




All papers need to be submitted electronically through the conference submission website (https://easychair.org/conferences/?conf=trustdata2022) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. All presented papers in the conference will be published in the conference proceedings with Springer Communications in Computer and Information Science (CCIS). Papers must be clearly presented in English, must not exceed 14 pages in Springer CCIS format (or up to 20 pages with the pages over length charge), including tables, figures, references and appendices (https://www.springer.com/cn/computer-science/lncs/conference-proceedings-guidelines). Notice that accepted papers less than 12 pages will be tagged as Short Papers. Distinguished papers, after further revisions, will be considered for possible publication in SCI & EI indexed special issues of prestigious international journals. By submitting a paper to the conference, authors assure that if the paper is accepted, at least one author will attend the conference and present the paper.




All presented papers in the conference will be published in the proceedings of the conference. Authors (at least one) of any accepted paper are requested to register at the conference.




 

Important Dates

Paper Submission Deadline:  June 15, 2022

Author Notification:  August 15, 2022

Camera-Ready Paper Due:   September 15, 2022

Conference Dates:   November 15 - 18, 2022

 

 

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




Program Committee (In alphabetical order)

Habtamu Abie, Norwegian Computing Center/Norsk Regnesentral, Norway

Salima Benbernou, Universite Paris Descartes, France

Christian Callegari, The University of Pisa, Italy

Wei Chang, Saint Joseph's University, USA

Anupam Chattopadhyay, Nanyang Technological University, Singapore

John A. Clark University of York, UK

Alfredo Cuzzocrea, University of Trieste and ICAR-CNR, Italy

Sabrina De Capitani di Vimercati, Universita degli Studi di Milano, Italy

Yucong Duan, Hainan University, China

Sheikh M. Habib, Technical University of Darmstadt, Germany

Ching-Hsien Hsu, Chung Hua University, Taiwan

Hai Jiang, Arkansas State University, USA

Vana Kalogeraki, Athens University of Economics, Greece

Ryan Ko, University of Waikato, New Zealand

Ruggero Donida Labati, Universita degli Studi di Milano, Italy

Xin Liao, Hunan University, China

Giovanni Livraga, Universita degli Studi di Milano, Italy

Haibing Lu, Santa Clara University, USA

Joon S. Park, Syracuse University, USA

Roberto Di Pietro, Nokia Bell Labs, France

Vincenzo Piuri, Universita' degli Studi di Milano, Italy

Imed Romdhani, Edinburgh Napier University, UK

Bimal Roy, Indian Statistical Institute, India

Jun Shen, University of Wollongong, Australia

Dimitris E. Simos, SBA Research, Austria

Chao Song, University of Electronic Science and Technology of China, China

Chang-ai Sun, University of Science and Technology Beijing, China

Yuanyuan Sun, Huazhong University of Science and Technology, China

Luis Javier Garcia Villalba, Universidad Complutense de Madrid, Spain

Yunsheng Wang, Kettering University, USA

Mingzhong Wang, University of the Sunshine Coast, Australia

Yongdong Wu, Institute for Infocomm Research, Singapore

Hejun Wu, Sun Yat-Sen University, China

Muneer Masadeh Bani Yassein, Jordan University of Science and Technology, Jordan

Sherali Zeadally, University of Kentucky, USA

Peiyin Xiong, Hunan University of Science and Technology, China

Dengfeng Xiao, Hunan University of Science and Technology, China




Publicity Chairs

Weiwei Chen, Hunan University, China

Bo Ou, Hunan University, China

 

Webmaster

Ziyi Tang, Hunan University, China

 

Contact

Please email inquiries concerning TrustData 2022 to:

Prof. Qin Liu: gracelq AT 126 DOT com

Prof. Qin Liu's Homepage: https://qinliu-hnu.github.io/
















--

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: https://qinliu-hnu.github.io/
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.openmath.org/pipermail/om-announce/attachments/20220511/c9b6fb26/attachment-0001.htm>