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The phones are received, data sanitized, cleaned, tested and reboxed with new accessories to be resold on eBay, the company also notes.
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If every node sanitizes their set of transaction (data chunk) independently then there is a chance of over-hiding which will degrade the data quality of sanitized dataset.
These infrequent negative comments also send a powerful message to consumers that the data aren't sanitized and, so, can be trusted.
Indeed, Zeldovich and his colleagues identified one popular web application that sanitized data in more than 1,400 places (but still had about 60 security holes).
Hence, MapReduce implementation helps the approach to be fast enough such that even voluminous data can be sanitized in an adequate amount of time.
De-identification [29, 30] is a traditional technique for privacy-preserving data mining, where in order to protect individual privacy, data should be first sanitized with generalization (replacing quasi-identifiers with less particular but semantically consistent values) and suppression (not releasing some values at all) before the release for data mining.
However, our data showed that regularly sanitized sponges (as indicated by their users) did not contain less bacteria than uncleaned ones," the study says.
Yet critics say the new consumer site omits so many details about Acxiom's data-gathering and analysis practices that it sanitizes the data mining behind data-driven marketing.
(These types of security checks operate in the background: they don't require you, for instance, to reenter your user name and password). Many web applications also "sanitize" data posted by their subscribers: if a friend posts something to your social-network page, the application probably won't show you the post without inspecting it for malicious code.
Another option for researchers to generate more adequate data sets might be for them to actually launch attacks in honeypot networks with simulated normal traffic, or possibly even do so in a real-world environment if they can properly sanitize sensitive data or ensure the absence of sensitive data in the first place.
Unfortunately, organizations sometimes overshare data or do not sanitize the materials published.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com