Abstract
Business Intelligence brings information in an intelligent way that enable a requester of data to analyze, justify their views and make timely decisions. In all these processes a good amount of data may be exposed based on user profile and in varying degree of extent. Also, the recent trends in Information Management such as cloud computing and pervasive BI, has set forth many questions in the arena of legal compliance and information security. Especially when, millions of customer records of an organization are outsourced for testing, warehousing and data mining. In this paper, we present an approach that will require a new layer to be incorporated for business intelligence architecture and shall be used to preserve the privacy of sensitive information without changing the consolidated, processed and strategically aggregated data; keeping intact the analysis and mining needs of stakeholders within and outside the organization.
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Gupta, V., Saxena, A. (2010). Privacy Layer for Business Intelligence. In: Meghanathan, N., Boumerdassi, S., Chaki, N., Nagamalai, D. (eds) Recent Trends in Network Security and Applications. CNSA 2010. Communications in Computer and Information Science, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14478-3_33
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DOI: https://doi.org/10.1007/978-3-642-14478-3_33
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