Preservation of privacy in data mining has emerged as an absolute prerequisite for
exchanging confidential information in terms of data analysis, validation, and publishing …

Safeguarding of security in information mining has risen as an outright essential for trading
secret data as far as information investigation, approval, and distributing. Constantly raising …

Anonymization-based privacy protection ensures that published data cannot be linked back
to an individual. The most common approach in this domain is to apply generalizations on …

Most of data in various forms contain sensitive information about individuals and so
publishing such data might violate privacy. Privacy preserving data publishing (PPDP) is an …

System logs are a valuable source of information for the analysis and understanding of
systems behavior for the purpose of improving their performance. Such logs contain various …

Since the creation of the cloud computing (CC) paradigm, there has been a rising interest in
the adoption of CC from municipalities and city governments toward their effort to address …

Privacy Preserving Data Mining (PPDM) is a data mining research area that aims to protect
individual's personal information from unsolicited or unauthorized disclosure. Privacy relates …

The unprecedented power of cloud computing (CC) that enables free sharing of confidential
data records for further analysis and mining has prompted various security threats. Thus …

Anonymization is a privacy-preserving approach facilitating to protect the identities of data
subjects. Besides privacy, anonymization presents a data utility that is very important for data …