Data analytics are usually going through all the data in details and are finding correlations. This can help out in an effective prediction and to infer results according to that analysis. Data analysis is done by having personal data and any other type of data in the form of sample sets. When the analysis is done from the data, which is personal that belongs to an individual, then its prediction is much useful. However, in case if there happen any mistake during analysis and prediction or is done incorrectly, it can cause so many privacy issues. The personal data of the individual might suffer from leakage, damage, and misuse. If the data is not safe and privacy concern are not met then data can be questioned.

More than one number of data sets cannot be used for prediction without mentioning their identity for putting them into the analysis. Along with the identities if there are some, same fixed points in data it can help us out to identify the individual easily. There are huge data and data sets available in the cloud environment, which needs to be handled carefully without any damage. As the information provided in datasets is greater so this needs to go through the elimination process, which is allowed so that we can address large datasets easily and can predict results accurately. To deal with all the privacy issues effectively DxChain team has developed a technique to keep individual’s data safe from a false use. DxChain use Obfuscation technique in which they make all the data unclear which prevents the leakage of important information associated with an individual.

When DxChain does strong identity obfuscation this is not the final solution for keeping data private. There are also chances of back tracing the data from the identity, which is given to the dataset by assigning values. When you gather information about any individual from any survey, he or she might expect privacy for their data. Therefore, even if this data is not useful it is kept safe and private and is stored in DxChain storage. The privacy, which is provided by that platform to the individual, is highly different and strong. It will ensure the individual that this information is totally impossible to get through any mean.

There are also some key disclosures for keeping resting data safe at the internet in any case. Some of the encryption keys are must to exit on the specific device through which data is being analyzed. Plaintext is usually encrypted to convert it to ciphertext for making it safer than before from various privacy threats. When one is doing asymmetric encryption, some of the cushion or padding must need to be used. Mostly ciphertext is preferred to use and if that ciphertext is multiplied with r, which is a simple integer, it will generate more and more ciphertexts for every plaintext. Sometimes individuals add up more information so according to this, results are also changed but this also needs to be kept safe.

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