征稿已开启

查看我的稿件

注册已开启

查看我的门票

已截止
活动简介

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.

组委会

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

 

 
征稿信息

重要日期

2018-07-30
摘要截稿日期
2018-07-30
初稿截稿日期

征稿范围

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.

留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 会议日期

    10月09日

    2018

    10月12日

    2018

  • 07月30日 2018

    摘要截稿日期

  • 07月30日 2018

    初稿截稿日期

  • 10月12日 2018

    注册截止日期

联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询