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Anant, Aaloka and Prasad, Ramjee (2020) State-of-the-art in Privacy Preservation for Enterprise Data. In: 2020 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, Okayama, Japan, pp. 1-6. ISBN 978-1-7281-8296-4
Full text not available from this repository.Abstract
Privacy preservation is at the heart of Artificial Intelligence and Machine Learning practice to make it widely adopted across the Enterprise applications. Data privacy forms the primary requirement for accessing data of individuals. Laws are being formulated and in effect across different geographies to make privacy a significant element in designing further strategies of data management by different companies. Practices of privacy protection and privacy preservation are evolving to provide more reliable and easily consumable methods for managing data usage. This paper presents a consolidated view of the latest practices across the enterprise and highlights the challenges faced. A brief investigation on available technologies is also presented with critique on vital elements to meet expectations from Enterprise and the regulators.
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