Welcome to participate in BigDataSPT 2017, Guangzhou, China, December 12-15, 2017! Guangzhou, a city in spring forever, is the capital city of Guangdong Province. Guangzhou is also the third largest city in China, located in the north of the Pearl River Delta, close to Hong Kong and Macau. With evergreen plants and flowers blooming all year round, the city has an alias of "City of Flowers". Guangzhou is one of the first batch of 24 historical and cultural cities released by the State Council, with more than 2200 years of history and profound cultural heritage, and also a major terminus of the maritime Silk Road. Guangzhou is one of the most famous tourist resorts in China, with a lot of tourist sites, such as Baiyun Mountain, Guangzhou Tower, and Yuexiu Park.
The Advances in Big Data Annual Big Data Security, Privacy and Trust Workshop (BigDataSPT 2017) , in conjunction with "The 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2017)". The volume, velocity and variety of data holdings are increasing, which demand cost-effective, efficient and innovative approaches or even a rethink in traditional approaches to ensure the confidentiality, integrity and availability of the information assets. This workshop aims to bring researchers, practitioners and other stakeholders together as a multi-disciplinary forum for discussion and dissemination of ideas to advance Big Data research.
Topics of interest comprise, but are limited to:
Research agendas that investigate big data security related issues (e.g. vulnerabilities on devices or technologies that can be exploited to compromise the confidentiality, integrity and availability of information assets).
Research agendas that identify big data privacy challenges, solutions and best practices (e.g. privacy-preserving in a complex big data environment, such as cloud and cyber-physical systems).
Research agendas that investigate big data trust related issues investigate
Papers that combine blue sky research and applied practice (e.g. cost effective retrieval, and analysis and evaluation of large data repositories).
12月12日
2017
12月15日
2017
注册截止日期
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