2024 IEEE 10th Conference on Big Data Security on Cloud (BigDataSecurity)

活动简介

With rapid development of big data storage and computing techniques, we have developed novel techniques beyond big data. Many aspects for both scientific research and people’s daily life have 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 have been attracting much attention in all big data related areas. IEEE Bigdatasecurity 2024 addresses this domain and aims to gather recent academic achievements in this field.

Security and robustness on Artificial Intelligence is the second concentration of IEEE Bigdatasecurity 2024. The emerging needs for building reliable and robust AI models in Big Data and Cloud environments with security and privacy guaranteed have attracted attention from a number of different perspectives. The new methods deployed in Big Data and Cloud environment have covered distinct dimensions, such as robust deep learning, secure deep learning/machine learning, multi-party computing, edge/fog computing, energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc.

组委会

General Chairs

Meikang Qiu, Augusta University, USA

Program Chairs

Yonghao Wang, Birmingham City University, UK

Xiaofu He, Columbia University, USA

Yongxin Zhu, Shanghai Advanced Research Institute, China

Industry Chair

Peng Zhang, SUNY Stony Brook, USA

Publicity Chairs

Bo Li, Beihang University, China

Keke Gai, Beijing Institute of Technology, China

Md Liakat Ali, Rider University, USA

Local Chairs

Gang Zeng, Nagoya University, Japan

Web Chair

Yunhe Feng, University of North Texas, USA

Financial Chair

Hui Zhao, Henan University, China

Award Chair

Sun-Yuan Kung, Princeton University, USA

Steering Committee

Meikang Qiu (Chair), Augusta 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

TBD

征稿信息

重要日期

2024-02-01

初稿截稿日期

Many novel techniques and applications are invented based on the rapid development of big data. Today, some aspects for both scientific research and people’s daily life have 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 have been attracting much attention in all big data related areas. IEEE Bigdatasecurity 2024 addresses this domain and aims to gather recent academic achievements in this field.