Sectorial healthcare strategy 2012-2016- Moroccan healthcare ministry. Big Data security and privacy issues in healthcare – Harsh Kupwade Patil, Ravi Seshadri – 2014 32. There are also other privacy concerns about big data. This article starts with big data, analyzes the security problems of big data, and proposes protection strategies for big data security and privacy. Although data privacy and data security are often used as synonyms, they share more of a symbiotic type of relationship. Our goal is to build a community in big data security and privacy to explore the challenging research problems. However, big data also brings many security risks and privacy-preserving problems. In each section, CSA presents 10 considerations for each of the top 10 major challenges in big data security and privacy. However this may not be necessarily the case. You're pretty much putting your trust in that the cloud provider is going to take care of your data. All the security breaches and fraudulent uses of data have made customers more concerned about their privacy and security. They want to know that you take it seriously and that you understand the threats. Big data analytics has the power to provide insights about people that are far and above what they know about themselves. With the power harnessed by these big-data insights growing at a rapid pace, the privacy issues associated with big data also catapult to the top of the ‘security and privacy concerns’ totem pole. Consider the synergy of privacy, security, big data and artificial intelligence. This in return implies that the entire big data pipeline needs to be revisited with security and privacy in mind. White House Report Points to Risks with Big Data (May. Approaches to storing, managing, analyzing and mining Big Data are new, introducing security and privacy challenges within these processes. This course sensitizes regarding privacy and data protection in Big Data environments. Due to its extraordinary scale, security and privacy in Big Data faces many challenges, such as efficient encryption and decryption algorithms, encrypted information retrieval, attribute based encryption, attacks on availability, reliability and integrity of Big Data. Trust. Big data contains great value and chance. How to ensure big data security and privacy protection has become one of the hot issues in the current stage of research. The resolution discusses the importance of data protection, accountability, transparency, data security, and privacy by design. This Cloud Security Alliance (CSA) document lists out, in detail, the best practices that should be followed by big data service providers to fortify their infrastructures. Data security and privacy are getting a much-needed spotlight right now, as they probably should. The data files used for big data analysis can often contain inaccurate data about individuals, use data models that are incorrect as they relate to particular individuals, or simply be flawed algorithms (the results of big data analytics are only as good, or bad, as the computations used to get those results). This article starts with big data, analyzes the security problems of big data, and proposes protection strategies for big data security and privacy. However, for data to be used to their full power, data security and privacy are critical. Trust is at the heart of the privacy issue and is the glue that is going to keep the data ecosystem together. 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