Get Privacy Preserving Data Analytics For Smart Homes

Privacy-preserving data mining is an application of data mining research in response to privacy security in data mining. It is called a privacy-enhanced or privacy-sensitive data mining. It deals with obtaining true data mining results without disclosing the basic sensitive data values.

What are the methods of Privacy-preserving data mining? Randomization methods − These methods insert noise to the data to mask several values of data. ... The k-anonymity and l-diversity methods − Both of these methods alter single data so that they cannot be specifically identified.

TRADITIONAL DATA PRIVACY PRESERVATION METHODS. Cryptography refers to set of techniques and algorithms for protecting data. In cryptography plaintext is converted into cipher text using various encryption schemes. There are various methods based on this scheme like public key cryptography, digital signatures etc.

Privacy-preserving technologies, or PPTs, are a newer class of technologies that support the distribution of encrypted data that can be selectively decrypted to reveal some or all of the data that is encapsulated.

Privacy-preserving analytics allows encrypted data to be processed while remaining unreadable and unusable to those without access. As Mark aptly stated, what was once a future vision is now “doomed to succeed.”