{"id":6776,"date":"2015-03-20T11:35:17","date_gmt":"2015-03-20T15:35:17","guid":{"rendered":"http:\/\/www.iri.com\/blog\/?p=6776"},"modified":"2026-02-23T14:37:57","modified_gmt":"2026-02-23T19:37:57","slug":"how-to-mask-cassandra-datastax-with-iri-fieldshield","status":"publish","type":"post","link":"https:\/\/www.iri.com\/blog\/vldb-operations\/how-to-mask-cassandra-datastax-with-iri-fieldshield\/","title":{"rendered":"Cassandra Data Masking"},"content":{"rendered":"

Editors Note \/ UPDATE: <\/strong>The article below describes an older method of data masking in Cassandra through IRI FieldShield. As of 2023 however, the <\/em>DarkShield V5\u00a0 features a purpose-built NoSQL DB API<\/a> for searching and masking operations in Cassandra, as well as fit-for-purpose graphical\u00a0wizard<\/a> in the IRI Workbench GUI for DarkShield<\/a> that leverages the API for PII protection in Cassandra. This video<\/a> also demonstrates its use.<\/em><\/p>\n

Cassandra security best practices indicates the anonymization of personally identifiable information (PII). In this article, we will show how to export data from a Cassandra database to a CSV file, and use the IRI FieldShield<\/a> product (also available in the IRI Voracity platform) to randomize, mask, and encrypt the data in\u00a0that CSV file. Then we will import that data back into Cassandra, updated and protected.<\/p>\n

In\u00a0our example we\u00a0have\u00a0a table with student information in DataStax. The columns are: id_num (the primary key), honors, semester_hours, socsecnum (social security number), and user_id.<\/p>\n

To\u00a0de-identify each\u00a0student, we will randomize their semester_hours, mask their socsecnum, and encrypt the user_id value so that each student’s PII is protected.<\/p>\n

Unprotected data in Cassandra<\/b><\/span><\/p>\n

\"Cassandra_FieldShield_InCassBefore\"<\/a><\/p>\n

For our command line examples, we are using the DataStax<\/a> Cassandra CQL shell.<\/em><\/p>\n

Exporting a Cassandra table to a CSV file<\/b><\/span><\/p>\n

To export a Cassandra table to a CSV file, run\u00a0the following command from the Cassandra CQL shell:<\/p>\n

COPY <Exporting Table> TO '<File Path to the CSV you exporting to>' WITH HEADER=TRUE;<\/pre>\n
\"Cassandra_FieldShield_CassandraExport\"<\/a><\/p>\n
Opening and Defining the CSV Source<\/strong><\/p>\n
    \n
  1. From the top toolbar of the IRI Workbench GUI for FieldShield<\/a>\u00a0(built on Eclipse), find the FieldShield icon and\u00a0select ‘New Protect Job’ to run the wizard. Name your job file, “CassShieldJob.fcl” and\u00a0click ‘Next’.<\/li>\n
  2. Click ‘Add Data Source’, and then ‘Browse’ to the CSV file you created with your export. Then click ‘OK’.<\/li>\n
  3. Click ‘Discover Metadata’ and name the (re-usable data definition file)\u00a0“StudentsMeta.ddf” and\u00a0click ‘Next’. Click ‘Yes’ to auto-detect and “Get field names from header row’ before\u00a0clicking ‘OK’, then ‘Finish’.<\/li>\n
  4. You should now see your fields in the Data Sources list. Click ‘Next’.<\/li>\n<\/ol>\n
    \"Cassandra_FieldShield_DetectLayout\"<\/a><\/p>\n
    Applying the Protections<\/strong><\/p>\n
      \n
    1. Click ‘Add Data Target’ and browse to create a new\u00a0CSV file target to hold the protected version of the data (or\u00a0to overwrite the source, use the same path\/file.\u00a0Then click ‘Target Field Layout’, to review the layout and apply the protections to the output fields. There\u00a0are two list boxes;\u00a0the top shows the source\u00a0fields, and the bottom shows\u00a0the target fields to which you will apply the field “shields.”<\/li>\n
    2. Randomize\u00a0semester_hours<\/span>: \u00a0Select the\u00a0semester_hours field name in the target pane and click ‘Field Protection.” Select Random Value Generation, and for type, select Digit. Set the random minimum and maximum sizes to 2 and click OK.<\/li>\n
    3. Mask socsecnum<\/span>: Select the socsecnum field and click ‘Field Protection’ again. Select Masking, and choose the default USA SSN option to\u00a0expose only\u00a0the last four digits of the SSNs. Click ‘OK’.<\/li>\n
    4. Encrypt user_id<\/span>: Select the\u00a0user_id and \u00a0click ‘Field Protection’ again. Select Encryption and Decryption\u00a0and choose\u00a0enc_fp_aes256_alphanum for format preserving encryption<\/a>.\u00a0Enter a\u00a0passphrase (the decryption key) and in the Exclude box type “User_” to prevent the User_ part of our username from being encrypted, Then click ‘Finish’.<\/li>\n
    5. The\u00a0fields to be protected should appear as follows:
      \n<\/a><\/li>\n<\/ol>\n
      \"Cassandra_FieldShield_EncryptDataWindow\"<\/a><\/p>\n
      Click ‘OK’, and then ‘Finish’ to\u00a0see the actual (executable job)\u00a0script created for you:<\/p>\n
      \"Cassandra_FieldShield_FinalScript\"<\/a><\/p>\n
      Run the job in the IRI Workbench or on the command line,<\/p>\n
      fieldshield \/spec=CassShieldJob.fcl<\/pre>\n
      The CSV file you created\u00a0will\u00a0contain the new masked and encrypted data.<\/p>\n
      Importing the protected data\u00a0into Cassandra<\/b><\/span><\/p>\n
      To import the changed data back into Cassandra, use the following command in the Cassandra CQL shell:<\/p>\n
      COPY <Table you are importing data to> (field1fromCSV, field2fromCSV, ...) FROM '<Path to CSV>';<\/pre>\n
      \"Cassandra_FieldShield_CassandraImport\"<\/a><\/p>\n
      Protected data in Cassandra<\/b><\/span><\/p>\n
      \"Cassandra_FieldShield_InCassAfter\"<\/a><\/p>\n
      For details on FieldShield capabilities, see http:\/\/www.iri.com\/products\/fieldshield\/technical-details<\/a>.<\/p>\n
      \n","protected":false},"excerpt":{"rendered":"
      Editors Note \/ UPDATE: The article below describes an older method of data masking in Cassandra through IRI FieldShield. As of 2023 however, the DarkShield V5\u00a0 features a purpose-built NoSQL DB API for searching and masking operations in Cassandra, as well as fit-for-purpose graphical\u00a0wizard in the IRI Workbench GUI for DarkShield that leverages the API<\/p>\n
      Read More<\/a><\/div>\n","protected":false},"author":61,"featured_media":6760,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[108,8,29,3,2255],"tags":[1429,2092,1788,1428,510,511,515,516,1954,148,149,2091,514,518,513],"class_list":["post-6776","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data-2","category-data-protection","category-test-data","category-vldb-operations","category-archived-articles","tag-cassandra-data-masking","tag-cassandra-data-masking-tools","tag-cassandra-data-security","tag-cassandra-database-masking","tag-cassandra-datastax","tag-cql-shell","tag-encrypt","tag-export","tag-masking-data-in-cassandra","tag-personally-identifiable-information","tag-pii","tag-pii-protection-in-cassandra","tag-protected-data","tag-randomize","tag-unprotected-data"],"acf":[],"yoast_head":"\nCassandra Data Masking - IRI<\/title>\n<meta name=\"description\" content=\"To find and mask PII in Cassandra, you can use either IRI FieldShield (for structured collections) or DarkShield for everything. Learn how!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.iri.com\/blog\/vldb-operations\/how-to-mask-cassandra-datastax-with-iri-fieldshield\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cassandra Data Masking\" \/>\n<meta property=\"og:description\" content=\"To find and mask PII in Cassandra, you can use either IRI FieldShield (for structured collections) or DarkShield for everything. 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