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Big Data Threat Landscape
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This Threat Landscape and Good Practice Guide for Big Data provides an overview of the current state of security in the Big Data area. In particular, it identifies Big Data assets, analyses exposure of these assets to threats, lists threat agents, takes into account published vulnerabilities and risks, and points to emerging good practices and new researches in the field. To this aim, ongoing community-driven efforts and publicly available information have been taken into account.
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Big Data Security
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The study aims at identifying the key security challenges that the companies are facing when implementing Big Data solutions, from infrastructures to analytics applications, and how those are mitigated. The analysis focuses on the use of Big Data by private organisations in given sectors (e.g. Finance, Energy, Telecom). However, more institutions (e.g. research centres, public organisations, and government agencies) has been considered as well.
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Privacy by design in big data
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The extensive collection and further processing of personal information in the context of big data analytics has given rise to serious privacy concerns, especially relating to wide scale electronic surveillance, profiling, and disclosure of private data. In order to allow for all the benefits of analytics without invading individuals’ private sphere, it is of utmost importance to draw the limits of big data processing and integrate the appropriate data protection safeguards in the core of the analytics value chain. ENISA, with the current report, aims at supporting this approach, taking the position that, with respect to the underlying legal obligations, the challenges of technology (for big data) should be addressed by the opportunities of technology (for privacy).
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