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Security and Privacy Requirements Engineering Revisited in the Big Data Era

机译:大数据时代的安全与隐私需求工程再探

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摘要

The world is witnessing exploding interests in big data and its analytics, which makes data a critical and relevant asset more than ever for today's organizations. However, without a proper understanding to security and privacy requirements, data might hardly be used to its full power. Data owners and users can be in risk in terms of information security and privacy when sharing their data and running the analytics procedures without a proper security infrastructure in place. In this talk, current security requirements engineering concepts, approaches and techniques are discussed, research challenges are identified in this setting, the security models and strategies for open data repositories are examined, and requirements engineering techniques needed in this age of rapid and disruptive changes are speculated.
机译:全世界都在关注大数据及其分析的爆炸式增长,这使数据成为当今组织比以往任何时候都更重要的重要资产。但是,如果没有对安全性和隐私要求的正确理解,数据可能难以充分利用。在没有适当的安全基础结构的情况下,共享数据和运行分析过程时,数据所有者和用户可能会面临信息安全和隐私方面的风险。在本次演讲中,讨论了当前的安全需求工程概念,方法和技术,确定了这种情况下的研究挑战,研究了开放数据存储库的安全模型和策略,并探讨了这个快速而颠覆性变化时代所需的需求工程技术。推测。

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