[Om-announce] TrustData 2017 CFP with 14+ SIs and 10+ Keynotes

Qin Liu gracelq628 at 126.com
Thu Jul 13 02:16:59 CEST 2017

We apologize if you receive multiple copies of this TrustData 2017 CFP with 14+ SIs and 10+ Keynotes.
We appreciate your great help if you forward this TrustData 2017 CFP to your colleages and friends.
Call for Papers for the 8th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2017)
Venue & Dates: 
Guangzhou, China, December 12-15, 2017
Conference Website:

Special Issues Section

Distinguished papers, after further revisions, will be published in 14+ SCI & EI indexed special issues (confirmed): 

(1) IEEE Transactions on Industrial Informatics (SCI&EI Indexed, Impact Factor: 4.79)

(2) IEEE Transactions on Emerging Topics in Computing (SCI&EI Indexed, Impact Factor: to appear soon)

(3) IEEE Access (SCI&EI Indexed, Impact Factor: 1.270)

(4) Information Sciences - Elsevier (SCI&EI Indexed, Impact Factor: 3.364)

(5) Future Generation Computer Systems - Elsevier (SCI&EI Indexed, Impact Factor: 2.430)

(6) Cluster Computing - Springer (SCI&EI Indexed, Impact Factor: 1.514)

(7) Multimedia Tools and Applications - Springer (SCI&EI Indexed, Impact Factor: 1.331)

(8) Journal of Parallel and Distributed Computing - Elsevier (SCI&EI Indexed, Impact Factor: 1.320)

(9) Concurrency and Computation: Practice and Experience - Wiley (SCI&EI Indexed, Impact Factor: 0.94)

(10) Security and Communication Networks - Hindawi (SCI&EI Indexed, Impact Factor: 0.806)

(11) Future Internet - MDPI (ESCI & EI Indexed)

(12) International Journal of Computational Science and Engineering (IJCSE) - INDERSCIENCE (ESCI & EI Indexed)

(13) International Journal of Embedded Systems (IJES) - INDERSCIENCE (EI Indexed)

(14) International Journal of High Performance Computing and Networking (IJHPCN) - INDERSCIENCE (EI Indexed)

* 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
TrustData2017 is a part of SpaCCS 2017 (http://trust.gzhu.edu.cn/conference/SpaCCS2017/),  10th 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 10 pages  (or 14 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://www.easychair.org/conferences/?conf=trustdata2017. Authors (at least one) of any accepted paper are requested to 

register at the conference.
Important Dates
Paper Submission Deadline:  August 15, 2017
Author Notification:        September 15, 2017
Camera-Ready Paper Due:     October 15, 2017
Conference Dates:           December 12-15, 2017
General Chairs
Qin Liu, Hunan University, China
Arun Kumar Sangaiah, VIT University, India
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, Università 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, Università 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 García 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

Publicity Chairs
Weiwei Chen, Hunan University, China
Bo Ou, Hunan University, China
Qifan Wang, Central South University, China
Please email inquiries concerning TrustData 2017 to:
Qin Liu: gracelq AT 126 DOT com and the symposium organizers: trustdata2017 AT gmail DOT com
LQ's new homepage:
Homepage: http://csee.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://csee.hnu.edu.cn/hbs/lq/
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