ENHANCED TIME SERIES PATTERN BASED EFFECTIVE NOISE GENERATION FOR PRIVACY PROTECTION ON CLOUD
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Abstract
Cloud computing can manage various IT resources and provide virtual scalable IT services under its openness and virtualization features. Hence, cloud customers can save huge capital investments in their own infrastructure by deploying or utilizing these IT services through cloud. Due to the openness and virtualization, various malicious service providers may exist in these cloud environments, and some of them may record service data from a customer and then collectively deduce the customer’s private information without permission. Therefore, from the perspective of cloud customers, it is essential to take certain technical actions to protect their privacy at client side. Noise obfuscation is an effective approach in this regard by utilizing noise data.
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