Abstract
Big data management and analysis has become an important matter in academic and industry research. In fact, big data can be very powerful and have significant positive impact on most organizations. However, a large portion of big data in service today is personal data. One of the methods currently in use to preserve privacy of personal data that are collected from big data, is to control the process of data collection according to corresponding privacy policies. In this paper we aim to highlight issues need to be resolved in order to achieve a sustainable balance of growth and protection in the use of big data. We have discussed three main issues including: the advanced definition of personal data, the concern of collecting big data: how and why big data collected and which challenges big data faced, the main privacy principles required in preserving privacy of collected big data, and finally we have proposed a case study to analyze the most famous online organization – Google- privacy policy in collecting big data and decide to which extent privacy is preserved.
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Alwabel, A.A. (2020). Privacy Issues in Big Data from Collection to Use. In: Tian, Y., Ma, T., Khan, M. (eds) Big Data and Security. ICBDS 2019. Communications in Computer and Information Science, vol 1210. Springer, Singapore. https://doi.org/10.1007/978-981-15-7530-3_29
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DOI: https://doi.org/10.1007/978-981-15-7530-3_29
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