Privacy is Become with, Data Perturbation

Privacy is becoming an increasingly important issue in many data mining applications that deal with health care, security, finance, behavior and other types of sensitive data. Is particularly becoming important in counterterrorism and homeland security-related applications. The authors touch upon several techniques of masking the data, namely random distortion, including the uniform and Gaussian noise, applied to the data in order to protect it. These perturbation schemes are equivalent to additive perturbation after the logarithmic transformation. Due to the large volume of research in deriving private information from the additive noise perturbed data, the security of these perturbation schemes is questionable.

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OnMobile

OnMobile [NSE India: ONMOBILE], headquartered in Bangalore, India, and with offices in all regions of the world, delivers millions of music plays daily to mobile customers worldwide. Based on current deployments, OnMobile has the potential to reach more than 1.1 billion mobile users across several geographies.

OTHER WHITEPAPERS
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Supply Chain Security in MongoDB’s Software Development Lifecycle

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whitePaper | June 28, 2022

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Upchain Security Whitepaper

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Spotlight

OnMobile

OnMobile [NSE India: ONMOBILE], headquartered in Bangalore, India, and with offices in all regions of the world, delivers millions of music plays daily to mobile customers worldwide. Based on current deployments, OnMobile has the potential to reach more than 1.1 billion mobile users across several geographies.

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