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International Conference on Smart Computing and Communication (Springer) will be held at Shenzhen University this year. is a public university established in 1983 located in Nanshan district, Shenzhen, Guangdong, China. Shenzhen University is accredited by the State Council of the People's Republic of China and is funded by the Shenzhen Government. The university took its first enrollment the same year at what Deng Xiaoping called "Shenzhen Speed". The university faculty is noted for its high qualifications, multi-academic background and innovative spirit. It is comprised of 1,221 teachers and researchers; 253 professors, 568 associate professors, of which 464 have doctorate degrees. It has one academician in the Chinese Academy of Engineering, six academicians in both the Chinese Academy of Sciences and the Chinese Academy of Engineering and 44 supervisors of doctoral candidates. As well as an impressive teaching faculty, the university now boasts some of the brightest students, distinguished alumni which now form a global network. The on-campus student body is 20,000 strong and an additional 18,000 off-campus students are engaged in continuing education. There are 920 international students from over 40 countries sharing the SZU experience.

征稿信息

重要日期

2016-08-01
初稿截稿日期
2016-09-20
初稿录用日期
2016-10-15
终稿截稿日期

征稿范围

  • Security in new paradigms of smart data

  • Cyber hacking, next generation fire wall of smart data

  • Cyber monitoring and incident response in smart data

  • Digital forensics in intelligent data

  • Big data security, Database security

  • Intelligent database and business improvement in big data

  • Intelligent data mining and optimizations in big data

  • Social engineering, insider threats, advance spear phishing

  • Cyber threat intelligence in big data

  • Security and fault tolerance for embedded or ubiquitous systems

  • Cloud-based intelligent data and security issues

  • Tele-health security in intelligent data

  • Sensor network security in big data

  • Embedded networks and sensor network optimizations

  • Cloud computing and networking models

  • Heterogeneous architecture for cloud-based intelligent data

  • Dynamic resource sharing algorithm for cloud-based intelligent data

  • Load balance for cloud-based intelligent data

  • Cloud-based audio/video streaming techniques

  • MapReduce in intelligent data

  • Visualization in intelligent data

  • Cloud-based real-time multimedia techniques in intelligent data

  • Big data analytics and applications in mobile cloud computing

  • Green cloud computing and big data

  • Quality of Service (QoS) improvements techniques

  • Case studies for various applications in big data

  • Cyber Security in emergent technologies, infrastructures and applications

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重要日期
  • 会议日期

    12月17日

    2016

    12月19日

    2016

  • 08月01日 2016

    初稿截稿日期

  • 09月20日 2016

    初稿录用通知日期

  • 10月15日 2016

    终稿截稿日期

  • 12月19日 2016

    注册截止日期

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