BigDataSecurity 2017 - 3rd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2017)
Topics/Call fo Papers
The 3rd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2017)
May 26th-28th, 2017, Beijing, China.
http://bigdata-security.org/bj2017/datasec
Current dramatical increasing demands of big data have driven a remarkable growth of the implementations of data mining, smart data, and data analysis in multiple domains. Security issues in applying big data have become a great concern for big data practitioners. IEEE BigDataSecurity 2017 addresses this domain and aims to gather recent academic achievements in this field.
Moreover, cloud computing is the second concentration of IEEE BigDataSecurity 2017. The emerging mechanism of cloud computing has provided a variety of novel approaches addressing the solutions of big data. The new methods deriving from cloud computing have covered distinct dimensions, such as energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc. IEEE BigDataSecurity 2017 will be held at Peking University.
Topics of particular interest include, but are not limited to:
Novel big data model
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
Important Dates
Paper Submission:
January 1st, 2017
Author Notification
March 1st, 2017
Camera-Ready April 1st, 2017
Author Registration
April 1st, 2017
Conference Date
May 26th-28th, 2017
Committee
Honored General Chair/ General Chair
Fuqing Yang, Peking University, China
Meikang Qiu, Pace University, USA
Program Chairs
Jack Dongarra, University of Tennessee, USA
Shikun Zhang, Peking University, China
Biao Wang, University of International Relations, China
For more information, please refer to the conference Website: http://bigdata-security.org/bj2017/datasec
May 26th-28th, 2017, Beijing, China.
http://bigdata-security.org/bj2017/datasec
Current dramatical increasing demands of big data have driven a remarkable growth of the implementations of data mining, smart data, and data analysis in multiple domains. Security issues in applying big data have become a great concern for big data practitioners. IEEE BigDataSecurity 2017 addresses this domain and aims to gather recent academic achievements in this field.
Moreover, cloud computing is the second concentration of IEEE BigDataSecurity 2017. The emerging mechanism of cloud computing has provided a variety of novel approaches addressing the solutions of big data. The new methods deriving from cloud computing have covered distinct dimensions, such as energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc. IEEE BigDataSecurity 2017 will be held at Peking University.
Topics of particular interest include, but are not limited to:
Novel big data model
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
Important Dates
Paper Submission:
January 1st, 2017
Author Notification
March 1st, 2017
Camera-Ready April 1st, 2017
Author Registration
April 1st, 2017
Conference Date
May 26th-28th, 2017
Committee
Honored General Chair/ General Chair
Fuqing Yang, Peking University, China
Meikang Qiu, Pace University, USA
Program Chairs
Jack Dongarra, University of Tennessee, USA
Shikun Zhang, Peking University, China
Biao Wang, University of International Relations, China
For more information, please refer to the conference Website: http://bigdata-security.org/bj2017/datasec
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Last modified: 2016-10-01 13:38:30