Big Data has the potential for enabling new insights to change science, engineering, medicine, healthcare, finance, business, and ultimately society itself. Current work on Big Data focuses on information processing such as data mining and analysis. However, trust, security and privacy of Big Data are vital concerns that have received less research focus. Regarding the above context, this workshop proposal is aimed at bringing together people from both academia and industry to present their most recent work related to trust, security and privacy issues in Big Data, and exchange ideas and thoughts in order to identify emerging research topics and define the future of Big Data.
Dr. Qin Liu && Dr. Wenjun Jiang, Hunan University, China
Dr. Md Zakirul Alam Bhuiyan, Fordham University, USA
Dr. Ling You, National Key Laboratory of Science and Technology on Blind Signal Processing, China
Dr. Mingjun Xiao, University of Science and Technology of China, China
Habtamu |
Abie |
Norwegian Computing Center/Norsk Regnesentral |
Norway |
Yan |
Bai |
University of Washington Tacoma |
USA |
Saad |
Bani-Mohammad |
Al al-Bayt University |
Jordan |
Salima |
Benbernou |
Universite Paris Descartes |
France |
Christian |
Callegari |
The University of Pisa |
Italy |
Sudip |
Chakraborty |
Valdosta State 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 |
Zhihui |
Du |
Tsinghua University |
China |
Yucong |
Duan |
Hainan University |
China |
Saurabh Kumar |
Garg |
University of Tasmania |
Australia |
Dieter |
Gollmann |
Hamburg University of Technology |
Germany |
Sheikh M. |
Habib |
Technical University of Darmstadt |
Germany |
Ching-Hsien |
Hsu |
Chung Hua University |
Taiwan |
Xinyi |
Huang |
Fujian Normal University |
China |
Young-Sik |
Jeong |
Dongguk University |
Korea |
Hai |
Jiang |
Arkansas State University |
USA |
Vana |
Kalogeraki |
Athens University of Economics |
Greece |
Ryan |
Ko |
University of Waikato |
New Zealand |
Yingjiu |
Li |
Singapore Management University |
Singapore |
Xin |
Liao |
Hunan University |
China |
Giovanni |
Livraga |
Universita’ degli Studi di Milano |
Italy |
Rongxing |
Lu |
Nanyang Technological University |
Singapore |
Haibing |
Lu |
Santa Clara University |
USA |
David |
Naccache |
École normale supérieure |
France |
Günther |
Pernul |
University of Regensburg |
Germany |
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 |
Chunhua |
Su |
Advanced Institute of Science and Technology |
Japan |
Chang-ai |
Sun |
University of Science and Technology Beijing |
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 |
Baoliu |
Ye |
Nanjing University |
China |
Shucheng |
Yu |
University of Arkansas at Little Rock |
USA |
Hua |
Yu |
Huazhong University of Science and Technology |
China |
Sherali |
Zeadally |
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The scope and interests for the special issue include but are not limited to the following list:
Big Data Science, Foundations, and applications
·Novel Theoretical Models for Big Data.
·New Computational Models for Big Data.
·Data and Information Quality for Big Data.
·High Performance/Parallel Computing Platforms for Big Data .
·Energy-efficient Computing for Big Data.
·Big Data Search Architectures, Scalability and Efficiency.
·Visualization Analytics for Big Data.
·Data Acquisition, Integration, Cleaning, and Best Practices .
Trust in Big Data
·Trust semantics, metrics, and models for Big Data.
·Trust management and evaluation for Big Data.
·Trusted systems, software, and applications for Big Data.
·Trusted platform implementation technologies for Big Data.
·Information quality/trustworthiness for Big Data.
·Provenance of content for Big Data.
·Trustworthiness of ratings/recommender systems for Big Data.
Security & Privacy in Big Data
·Security model and architecture for Big Data.
·Software and system security for Big Data.
·Cryptography in Big Data.
·Big Data privacy policies and standards.
·Anonymization techniques for big data.
·Security and Privacy in Big Data sharing and visualization.
·Security and Privacy in Big Data access control mechanisms.
·Security and Privacy in Big Data mining and analytics.
10月09日
2018
10月12日
2018
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