Systems and methods for secure prediction using an encrypted query executed based on encrypted data

A system for computing an encrypted prediction in response to an encrypted query, comprising:

• at least one hardware processor;
• and
• a non-transitory memory having stored thereon a code for execution by the at least one hardware processor, the code comprising instructions for:
• obtaining an encrypted dataset comprising a plurality of encrypted records for respective plurality of encrypted entities, each record storing encrypted parameter values of parameters and an associated indication of the respective entity,
• computing a plurality of abnormality clusters according to the records of the encrypted dataset, wherein each of the plurality of abnormality clusters stores indications of entities of records of the encrypted dataset having at least one mathematically significant common abnormal feature that statistically differentiates records of the respective abnormality cluster from other records of the encrypted dataset,
• receiving a query comprising a plurality of target indications of respective target entities associated with at least one common feature,
• analyzing the query according to the abnormality clusters to identify at least one encrypted result entity indication according to a likelihood of the encrypted result entity indication predicted to correlate to the at least one common feature at a future time interval, and
• providing, in response to the query, the at least one encrypted result entity indication.

A computer program product for computing an encrypted prediction in response to an encrypted query, comprising:

• a non-transitory memory having stored thereon a code for execution by at least one hardware processor, the code comprising instructions for:
• obtaining an encrypted dataset comprising a plurality of encrypted records for respective plurality of encrypted entities, each record storing encrypted parameter values of parameters and an associated indication of the respective entity;
• computing a plurality of abnormality clusters according to the records of the encrypted dataset, wherein each of the plurality of abnormality clusters stores indications of entities of records of the encrypted dataset having at least one mathematically significant common abnormal feature that statistically differentiates records of the respective abnormality cluster from other records of the encrypted dataset;
• receiving a query comprising a plurality of target indications of respective target entities associated with at least one common feature;
• analyzing the query according to the abnormality clusters to identify at least one encrypted result entity indication according to a likelihood of the encrypted result entity indication predicted to correlate to the at least one common feature at a future time interval;
• and
• providing, in response to the query, the at least one encrypted result entity indication.