Page 368 - From Smart Grid to Internet of Energy

332 From smart grid to internet of energy

and compression processes hide the attribution identities while decomposition
and permutation methods change sensitive identifiers by grouping and decou-
pling information between operators and sensitive properties. Four privacy
preserving methods that are expressed above are k-anonymity, l-diversity,
t-closeness, and differential privacy processes. It is noted that the key methods
and basic means on anonymity protection are still in their development stage for
structured data stacks in big data [5]. The access control is proposed as an effi-
cient process for data sharing applications. The difficulties are related to predic-
tion of authorization of each user in big data, variety of access requests, and
providing privilege in massive databases. The complexity and diversity of
big data prevents efficient calculation for privacy preserving algorithms. Thus,
encryption and decryption methods are proposed as alternative control opera-
tions in big data. The privacy preserving methods can be achieved by ensuring
communication security and using encryption algorithms in complex big data
contents. Therefore, the encryption based methods are mostly used in distrib-
uted application as data mining, distributed queries and distributed data deploy-
ment applications [5].

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