Research Challenges at the Intersection of Big Data, Security and Privacy
Murat Kantarcıoğlu, Elena Ferrari · Frontiers in Big Data · 2019
As reports from McKinsey Global Institute Mckinsey (2011) and the World Economic Forum Schwab2 (2016) suggest, capturing, storing and mining “big data” may create significant value in many industries3 ranging from health care to location based services. For example, McKinsey estimates that capturing4 the value of big data can create $300 billion dollar annual value in the US healthcare sector and $6005 billion dollar annual consumer surplus globally Mckinsey (2011). Still, several important issues need to be6 addressed to capture the full potential of big data. Among them, security and privacy as well as incentives7 to share data are identified as critical Mckinsey (2011). As big data becomes the new oil for the digital8 economy, realizing the benefits that big data can bring requires considering many different security and9 privacy issues. Basically, the entire big data pipeline needs to be considered with security and privacy in10 mind. For example, while the big data is stored and recorded, appropriate privacy-aware access control11 policies need to be enforced so that the big data is only used for legitimate purposes. On the other hand,12 while linking and sharing data across organizations, privacy/security issues need to be considered. Below,13 we provide an overview of research challenges that are at the intersection of cybersecurity, privacy and big14 data.