Netapp, Inc.

Yodlee, Inc.

Syed Abid Hussain

Srinivasan Narayanamurthy

Vunnava Praveen

Methods, systems and computer program products for layered masking of data are described. A system receives content including personally identifiable information (PII). The system redacts the content by masking the PII. The system identifies the PII in multi-layer processing, where in each layer, the system determines a respective confidence score indicating a probability that a token is PII. If the confidence score is sufficiently high, the system masks the token. Otherwise, the system provides the token to a next layer for processing. The layers can include regular expression based processing, lookup table based processing, and machine learning based processing.

Layered masking of content

A distributed storage system can use a high rate MSR erasure code to repair multiple nodes when multiple node failures occur. An encoder constructs m r-ary trees to determine the symbol arrays for the parity nodes. These symbol arrays are used to generate the parity data according to parity definitions or parity equations. The m r-ary trees are also used to identify a set of recovery rows across helper nodes for repairing a systematic node. When failed systematic nodes correspond to different ones of the m r-ary trees, a decoder may select additional recovery rows. The decoder selects additional recovery rows when the parity definitions do not provide a sufficient number of independent linear equations to solve the unknown symbols of the failed nodes. The decoder can select recovery rows contiguous to the already identified recovery rows for access efficiency.

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Bengaluru, India

Syed Abid Hussain