This study investigates existing input privacy-preserving data mining (PPDM) methods and privacy-preserving data stream mining methods (PPDSM), including t
N.Punitha, R.Amsaveni, "Methods and Techniques to Protect the Privacy Information in Privacy Preservation Data Mining ", IJCTA Int. J. Comp. Tech. Appl., Vol 2, No.6, pp.2091-2097, Nov-Dec 2011.Methods and Techniques to Protect the Privacy Information in Privacy Preservation Data Mining...
At a time when IT organizations are adapting to the new normal in terms of on-site staffing, it is essential to have intuitive, easy-to-use copy data management tools that can cost-effectively protect and reuse data. Ops Center Protector offers a way to lower risk while reducing the burden...
Cryptographic technologies are used to protect the security and entire life cycle of big data. The demand for this technology is multiplied when the data are stored in the cloud. They are stored in the cloud in the form of ciphertext, and the driving requirement for data retrieval, sharing,...
Consequently, data protection has become the top priority of many organizations. That’s why data masking has become an essential technique many businesses need to protect their sensitive data. What is data masking? Data masking, also known as data obfuscation, hides the actual data using modified...
Maria:Thanks, Alex. We use analytics and machine learning to detect bad activity in the identity ecosystem. Our goal is to protect our customers from fraud and account compromise using advanced AI techniques and data science. We come up with ways to detect malicious attacks, fr...
Abstract In the present chapter we discuss the application of two techniques to protect a table or a (hierarchical or linked) set of tables against disclosure, namely table redesign and secondary cell suppression. We start our discussion by considering a single table with its marginals, and then...
Data anonymization is whereby classified information is sanitized and masked in such a way that if a breach occurs, the data acquired is useless to the culprits. The need to protect data should be held in high priority in every organization, as classified information that falls into the wrong...
Error(::CryptProtectData(&plaintext, 0 /*no description*/, 0 /*no additional entropy*/, 0 /*reserved*/, 0 /*no prompt*/, CRYPTPROTECT_UI_FORBIDDEN, &ciphertext)); // TODO: write the ciphertext to disk ::SecureZeroMemory(&buffer[0], buffer.size()); ::Lo...
A set of data is received for a data analysis. The set of data includes personal identifiable information. The set of data is anonymized to protect the privacy information. Risk rat