Big Data Security and Privacy Workshop

随着万维网的出现以及由此产生的社交媒体、智能手机和传感器网络等技术的出现，近年来收集的数据量大幅增加。管理、存储、处理、分析和传播如此大量的数据带来了许多安全和隐私方面的挑战。为了解决管理和分析大数据的安全和隐私挑战，NSF提出了大数据安全和隐私研讨会。具体而言，研讨会探讨的研究主题包括：大数据的策略管理;大数据管理和分析的安全性和隐私;大数据的安全基础设施和安全存储;保护和分析大规模网络;以及安全问题的大数据分析。研讨会的参与者预计将来自学术界，工业界和政府实验室，包括高性能计算，系统，数据管理和分析，网络安全，网络科学和政策以及社会科学领域的跨学科研究人员。他们将共同确定大数据安全和隐私的战略方向。由于大数据安全和隐私的研究越来越重要，预计本次研讨会将产生非常广泛的影响。

With the advent of the world wide web and the resulting technologies such as social media, smart phones and sensor networks, the amount of data being collected has increased tremendously in recent years. Managing, storing, processing, analyzing and disseminating such massive amounts of data gives raise to many security and privacy challenges. To address these security and privacy challenges of managing and analyzing big data, an NSF Workshop on Big Data Security and Privacy has been proposed. Specifically, the workshop explores research topics including: policy management for big data; security and privacy for big data management and analytics; secure infrastructures and secure storage for big data; securing and analyzing massive networks; and big data analytics for security problems. The workshop participants are expected to be from academia, industry and government labs, consisting of interdisciplinary researchers in the fields of higher performance computing, systems, data management and analytics, cyber security, network science and policy and social sciences. They will come together and determine the strategic direction for big data security and privacy. Since research in big data security and privacy is of growing importance, this workshop is expected to have very high broader impacts.