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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, December 18-20, 2020
Conference Website:
http://www.spaccs.org/trustdata2020/
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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
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639
Publisher: IEEE, IF: 4.098
3. 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
4. International Journal of Distributed Sensor Networks
Special Issue: 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, IF = 1.614
5. Wireless Communications and Mobile Computing (WCMC) Journal
Special Issue: Security and Privacy in New Computing Environments
https://www.hindawi.com/journals/wcmc/
Publisher: Hindawi, IF: 1.396
6. Security and Communication Networks
Special Issue: Machine Learning for Wireless Multimedia Data Security
https://www.hindawi.com/journals/scn/2019/7682306
Publisher: Hindawi, IF: 1.376
7. Concurrency and Computation Practice and Experience, IOS Press
Special Issue: Special Issue on Secure Smart World (S2World2020)
http://www.cc-pe.net/journalinfo/issues/2020.html
Publisher: WILEY, IF: 1.114
8. Connection Science
https://www.tandfonline.com/loi/ccos20
Publisher: Taylor & Francis Online, IF: 0.673
9. Digital Communications and Networks
Special Issue: Security and Privacy Protection in the Era of IoT Devices
http://www.keaipublishing.com/en/journals/digital-communications-and-networks/call-for-papers/special-issue-on-security-and-privacy-protection/
Publisher: KeAi
* 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: Aug. 23, 2020
Author Notification: Sep.23 2020
Camera-Ready Paper Due: Oct.23, 2020
Conference Dates: Dec.18-20, 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: [email protected]; [email protected]
Homepage: http://res.hnu.edu.cn/hbs/lq/
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