The 5th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2019)

May 27th-29th, 2019

Washington DC, USA

Call for Papers

With rapid development of digital devices and communication techniques, we are in the big data era. Many aspects for both scientific research and people’s daily life has been influenced by big data based technology such as artificial intelligence, cloud computing, and Internet of Things. Providing security and privacy for big data storage, transmission, and processing has been attracting much attention in all big data related areas. EEE BigDataSecurity 2019 addresses this domain and aims to gather academic achievements in this field.

Internet of Things is the second concentration of IEEE BigDataSecurity 2019. The emerging needs for transmission, storage, and processing data in IoT environment with security and privacy guaranteed have attracted attention from a number of different perspectives. The new methods deployed in IoT environment have covered distinct dimensions, such as edge/fog computing, energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc.

  • Novel big data model
  • Big data security issues in IoT
  • Big data privacy issues in IoT
  • Big data security issues in cloud computing
  • Big data privacy in cloud computing
  • Big data storage, integration, service, mining
  • Big data security applications
  • Cyber hacking, next generation fire wall
  • Cyber monitoring, incident response
  • Database security, data center security
  • Social engineering, insider threats, advance spear phishing
  • Cyber threat intelligence
  • Security and fault tolerance for embedded or ubiquitous systems
  • Tele-health security in cloud computing
  • Sensor network security in cloud computing
  • Security policy and legal considerations
  • Cloud and networking security
  • Cloud computing and networking models
  • Virtualization for big data on cloud
  • MapReduce with cloud for big data processing
  • Heterogeneous architecture for cloud computing
  • Dynamic resource sharing algorithm for cloud computing
  • Load balance for cloud computing
  • Mobile cloud computing
  • Mobile commerce security and privacy
  • Green cloud computing
  • Embedded networks and sensor network optimizations
  • Cyber Security in emergent technologies

PDF Version Call For Papers

Docx Version Call For Papers

Text Version Call For Papers

Important Dates

  • Paper submission: January 21st, 2019
  • Author notification: March 15th, 2019
  • Camera-Ready: April 5th, 2019
  • Registration: April 5th, 2019
  • Conference date: May 27th-29th, 2019

Committees and Conference Organizations

General Chairs
Bhavani Thuraisingham, The University of Texas at Dallas, USA
Sun-Yuan Kung, Princeton University, USA
Meikang Qiu, Columbia University, USA
Program Chairs
Keke Gai, Beijing Institute of Technology, China
Latifur Khan, University of Texas at Dallas, USA
Barbara Carminati, University of Insubria, Italy
Industry Chairs
Mehdi Javanmard, Rutgers University, USA
Peng Zhang, SUNY Stony Brook, USA
Publicity Chairs
Zhiqiang Lin, Ohio State University, USA
Younghee Park, San Jose State University, USA
Yuanchao Shu, Microsoft Research Asia, China
Local Chair
Han Qiu, Telecom-ParisTech, France
Financial Chair
Hui Zhao, Henan University, China
Steering Committee
Meikang Qiu (Chair), Columbia University, USA
Sun-Yuan Kung, Princeton University, USA
Ruqian Lu, Chinese Academy of Sciences | CAS·Academy of Mathematics and Systems Science, China
Barbara Carminati, University of Insubria, Italy
Technical Program Committee
Prem Chhetri, RMIT, Australia
Xinyi Huang, Fujian Normal University, China
Aniello Castiglione, University of Salerno, Italy
Maribel Fernandez, King’s College, University of London, UK
Zhiyuan Tan, Edinburgh Napier University, Scotland
Kan Zhang, Tsinghua University, China
Mohan Muppidi, UTSA, USA
Sang-Yoon Chang, Advanced Digital Science Center, Singapore
Jin Cheol Kim, KEPCO KDN, Korea
Mehdi Javanmard, Rutgers University, USA
Allan Tomlinson, University of London, United Kingdom
Chungsik Song, San Jose State University, USA
Neetesh Saxena, Bournemouth University, UK
Jiaqi Zhu, Chinese Academy of Sciences, China
Jian Zhang, Institute of Software, Chinese Academy of Sciences, China
Gang Qu, University of Maryland, USA
Hao Chen, Shanghai Tech University, China
Petr Matousek, Brno University of Technology, Czechia
Wenbo Zhu, Google Inc. USA
Paul Rad, Rackspace, USA
Katie Cover, The Pennsylvania State University, USA
Fuji Ren, The University of Tokushima, Japan
Long Fei, Google Inc. USA
Xiaofu He, Columbia University Medical Center, USA
David Dampier, University of Texas at San Antonio, USA
Richard Hill, University of Huddersfield, UK
William Glisson, University of South Alabama, USA
Petr Matousek, Brno University of Technology, Czechia
Javier Lopez, University of Malaga, Spain
Bo Luo, The University of Kansas, USA
Zongming Fei, University of Kentucky, USA
Zonghua Gu, Zhejiang University, China
Yong Zhang, The University of Hong Kong, China
Yu Hua, Huazhong University of Science & Technology, China
Yan Zhang, University of Oslo, Norway
Haibo Zhang, University of Otago, New Zealand
Hao Hu, Nanjing University, China
Chao-Tung Yang, Tunghai University
Hiroyuki Sato, The University of Tokyo, Japan
William de Souza, University of London, United Kingdom
Malik Awan, Cardiff University, United Kingdom
Paolo Trunfio, University of Calabria, Italy
Bharat Rawal, Pennsylvania State University, USA