Seagate Technology Incorporated

Rupasree Roy

Manuel A Offenberg

Simon Thavatchai Phatigaraphong

Bhakti Chowkwale

Paul Roger Heath

The technology disclosed herein provides batchwise metric-based malware detection by receiving a plurality of input/output (IO) requests, generating IO trace sequences by combining a number of IO requests, generating batchwise metrics, each of the batchwise metrics corresponding to one of the IO trace sequences and generated based on an operation performed on values of parameters within IO trace sequences, generating inferential model input feature vectors based on the generated batchwise metrics, and training an inferential model based on a plurality of the generated inferential model input feature vectors and ground truth values corresponding to the IO trace sequences, each of the ground truth values indicating whether a corresponding one of the IO trace sequences represents a ransomware attack.

Detection of ransomware attack at object store

A method includes generating a private key associated with a distributed ledger. The private key is stored on a secure memory. A storage device is manufactured and includes an onboard computing device having the secure memory integrated therein. The onboard computing device is configured to sign one or more ledger operations with the private key.

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Milpitas, CA, United States of America

Rupasree Roy