Contoh penyembunyian end-to-end data dinamis

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Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

Berikut ini adalah end-to-end contoh yang menunjukkan bagaimana Anda dapat membuat dan melampirkan kebijakan masking ke kolom. Kebijakan ini memungkinkan pengguna mengakses kolom dan melihat nilai yang berbeda, tergantung pada tingkat kebingungan dalam kebijakan yang dilampirkan pada peran mereka. Anda harus menjadi superuser atau memiliki sys:secadminperan untuk menjalankan contoh ini.

Membuat kebijakan masking

Pertama, buat tabel dan isi dengan nilai kartu kredit.

--create the table         
CREATE TABLE credit_cards (
  customer_id INT,
  credit_card TEXT
);

--populate the table with sample values
INSERT INTO credit_cards
VALUES
  (100, '4532993817514842'),
  (100, '4716002041425888'),
  (102, '5243112427642649'),
  (102, '6011720771834675'),
  (102, '6011378662059710'),
  (103, '373611968625635')
;

--run GRANT to grant permission to use the SELECT statement on the table
GRANT SELECT ON credit_cards TO PUBLIC;

--create two users
CREATE USER regular_user WITH PASSWORD '1234Test!';

CREATE USER analytics_user WITH PASSWORD '1234Test!';

--create the analytics_role role and grant it to analytics_user
--regular_user does not have a role
CREATE ROLE analytics_role;

GRANT ROLE analytics_role TO analytics_user;

Selanjutnya, buat kebijakan masking untuk diterapkan pada peran analitik.

--create a masking policy that fully masks the credit card number
CREATE MASKING POLICY mask_credit_card_full
WITH (credit_card VARCHAR(256))
USING ('000000XXXX0000'::TEXT);

--create a user-defined function that partially obfuscates credit card data
CREATE FUNCTION REDACT_CREDIT_CARD (credit_card TEXT)
RETURNS TEXT IMMUTABLE
AS $$
    import re
    regexp = re.compile("^([0-9]{6})[0-9]{5,6}([0-9]{4})")
 
    match = regexp.search(credit_card)
    if match != None:
        first = match.group(1)
        last = match.group(2)
    else:
        first = "000000"
        last = "0000"
    
    return "{}XXXXX{}".format(first, last)
$$ LANGUAGE plpythonu;

--create a masking policy that applies the REDACT_CREDIT_CARD function
CREATE MASKING POLICY mask_credit_card_partial
WITH (credit_card VARCHAR(256))
USING (REDACT_CREDIT_CARD(credit_card));

--confirm the masking policies using the associated system views
SELECT * FROM svv_masking_policy;

SELECT * FROM svv_attached_masking_policy;   

Melampirkan kebijakan masking

Lampirkan kebijakan masking ke tabel kartu kredit.

--attach mask_credit_card_full to the credit card table as the default policy
--all users will see this masking policy unless a higher priority masking policy is attached to them or their role
ATTACH MASKING POLICY mask_credit_card_full
ON credit_cards(credit_card)
TO PUBLIC;

--attach mask_credit_card_partial to the analytics role
--users with the analytics role can see partial credit card information
ATTACH MASKING POLICY mask_credit_card_partial
ON credit_cards(credit_card)
TO ROLE analytics_role
PRIORITY 10;

--confirm the masking policies are applied to the table and role in the associated system view
SELECT * FROM svv_attached_masking_policy;

--confirm the full masking policy is in place for normal users by selecting from the credit card table as regular_user
SET SESSION AUTHORIZATION regular_user;

SELECT * FROM credit_cards;

--confirm the partial masking policy is in place for users with the analytics role by selecting from the credit card table as analytics_user
SET SESSION AUTHORIZATION analytics_user;

SELECT * FROM credit_cards;

Mengubah kebijakan masking

Bagian berikut menunjukkan cara mengubah kebijakan masking data dinamis.

--reset session authorization to the default
RESET SESSION AUTHORIZATION;

--alter the mask_credit_card_full policy
ALTER MASKING POLICY mask_credit_card_full
USING ('00000000000000'::TEXT);	
	
--confirm the full masking policy is in place after altering the policy, and that results are altered from '000000XXXX0000' to '00000000000000'
SELECT * FROM credit_cards;

Melepaskan dan menjatuhkan kebijakan masking

Bagian berikut menunjukkan cara melepaskan dan menghapus kebijakan masking dengan menghapus semua kebijakan masking data dinamis dari tabel.

--reset session authorization to the default
RESET SESSION AUTHORIZATION;

--detach both masking policies from the credit_cards table
DETACH MASKING POLICY mask_credit_card_full 
ON credit_cards(credit_card) 
FROM PUBLIC;

DETACH MASKING POLICY mask_credit_card_partial 
ON credit_cards(credit_card) 
FROM ROLE analytics_role;

--drop both masking policies
DROP MASKING POLICY mask_credit_card_full;

DROP MASKING POLICY mask_credit_card_partial;