{"id":3084,"date":"2021-03-29T08:00:00","date_gmt":"2021-03-29T05:00:00","guid":{"rendered":"https:\/\/www.dataplatform.gr\/?p=3084"},"modified":"2025-01-15T14:35:27","modified_gmt":"2025-01-15T11:35:27","slug":"ti-einai-dynamic-data-masking-kai-pos-to-energopoioyme","status":"publish","type":"post","link":"https:\/\/www.dataplatform.gr\/en\/ti-einai-dynamic-data-masking-kai-pos-to-energopoioyme\/","title":{"rendered":"What is Dynamic Data Masking and how do we enable it in SQL Server"},"content":{"rendered":"<p>In this article we will analyze what it is <strong>Dynamic Data Masking<\/strong> and what options do we have for its use in <strong>SQL Server<\/strong>.<\/p>\n\n\n\n<p>Dynamic Data Masking is a function whose purpose is <strong>to hide sensitive data from the results of a query<\/strong>.<\/p>\n\n\n\n<p>It does not require the change in the application code and does not modify the data stored in the database, which means that <em><strong>it is not an encryption solution <\/strong><\/em>but it prevents users who shouldn&#039;t have access to that data from seeing it.<\/p>\n\n\n\n<p>To activate it we will have to run <strong>Data Definition Language<\/strong> statements that will modify each field of the table by adding the corresponding mask that will hide them.<\/p>\n\n\n\n<p>Depending on the mask we use we can hide all characters or some.<\/p>\n\n\n\n<p>We will see detailed examples with the options we have below.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The example<\/h2>\n\n\n\n<p>For our example we will make a table with four customers. We will also create a user that will have right <strong>select<\/strong> in this table.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">create table pelates(\n\tid int identity(1,1),\n\tonoma varchar(100),\n\tepitheto varchar(100),\n\ttilefono varchar(100),\n\temail varchar(100));\n\n\ninsert into pelates values\n('Stratos','Matzouranis','2101234567','matzouranis@dokimi.com'),\n('Iwanna','Iwannidou','2109852157','iwannidou@dokimi.com'),\n('Giwrgos','Gewrgiou','2251011111','gewrgiou@dokimi.com'),\n('Laertis','Rwmanos','2310124598','rwmanos@dokimi.com');\n\n\ncreate user \"xristis\" without login;\ngrant select on pelates to \"xristis\";<\/pre>\n\n\n\n<p>Since we have made them if we do <em><strong>select <\/strong><\/em>the table as this user, we will see that it sees all the data normally.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">execute as user = 'xristis';\nselect * from pelates;\nrevert;<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"402\" height=\"143\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-1.png\" alt=\"\" class=\"wp-image-3085\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-1.png 402w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-1-300x107.png 300w\" sizes=\"auto, (max-width: 402px) 100vw, 402px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">The options of masking rules<\/h2>\n\n\n\n<p>As we mentioned before there are many different masking functions, let&#039;s see some examples for our case applying masking to all fields.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Email masking<\/h3>\n\n\n\n<p>With the <strong>email masking <\/strong>only the first character and the domain suffix are displayed.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">alter table pelates\nalter column email add masked with (function='email()');<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"374\" height=\"174\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-2-1.png\" alt=\"\" class=\"wp-image-3097\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-2-1.png 374w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-2-1-300x140.png 300w\" sizes=\"auto, (max-width: 374px) 100vw, 374px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Default masking<\/h3>\n\n\n\n<p>With the <strong>default masking<\/strong> all characters in the field are hidden. <\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">alter table pelates\nalter column tilefono add masked with (function='default()');<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"350\" height=\"138\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-3.png\" alt=\"\" class=\"wp-image-3099\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-3.png 350w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-3-300x118.png 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Partial masking<\/h3>\n\n\n\n<p>By using it <strong>partial masking<\/strong> we can choose how many characters will be displayed from the beginning and the end and with which character the rest will be hidden.<\/p>\n\n\n\n<p>Let&#039;s say that in the last name we want to display the first two characters and the last, while in between there are &quot;xxxx&quot; in place of the real elements, then in this case we would have to run the following:<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">alter table pelates\nalter column epitheto add masked with (function='partial(2,\"xxxxx\",1)');<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"338\" height=\"192\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-4.png\" alt=\"\" class=\"wp-image-3100\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-4.png 338w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-4-300x170.png 300w\" sizes=\"auto, (max-width: 338px) 100vw, 338px\" \/><\/figure>\n\n\n\n<p>Accordingly, if we wanted only the first character to appear and nothing else, we would run the following:<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">alter table pelates\nalter column onoma add masked with (function='partial(1,\"xxxx\",0)');\n<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"318\" height=\"168\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-5.png\" alt=\"\" class=\"wp-image-3101\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-5.png 318w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-5-300x158.png 300w\" sizes=\"auto, (max-width: 318px) 100vw, 318px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Random masking<\/h3>\n\n\n\n<p>With the <strong>random masking<\/strong> we set a random number to appear in place of the real one. In order for it to work, we must have defined the limits it will have, e.g. from the number 1 to 99,999.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">alter table pelates\nalter column id add masked with (function='random(1,99999)');<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"352\" height=\"140\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-6.png\" alt=\"\" class=\"wp-image-3102\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-6.png 352w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-6-300x119.png 300w\" sizes=\"auto, (max-width: 352px) 100vw, 352px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">What to watch out for in Dynamic Data Masking<\/h2>\n\n\n\n<p>Since, as we said, Dynamic Data Masking is applied to the results of the data and not to the actual data, there are some limitations.<\/p>\n\n\n\n<p>We should know that if a user who does not have right goes <strong><em>unmask<\/em><\/strong> to look for records that meet some criteria will show them, simple results will be masked.<\/p>\n\n\n\n<p>Because of this, a user can guess field values and find out the number of records that meet them.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">execute as user = 'xristis';\nselect * from pelates where onoma = 'Stratos'\nrevert;<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"355\" height=\"122\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-7.png\" alt=\"\" class=\"wp-image-3091\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-7.png 355w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-7-300x103.png 300w\" sizes=\"auto, (max-width: 355px) 100vw, 355px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">How do we give the right to a user to see the data<\/h2>\n\n\n\n<p>By right <strong><em>unmask <\/em><\/strong>we can give some user can see the real data.<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">grant unmask to \"xristis\";\n--revoke unmask to \"xristis\";<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"402\" height=\"143\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-1.png\" alt=\"\" class=\"wp-image-3085\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-1.png 402w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-1-300x107.png 300w\" sizes=\"auto, (max-width: 402px) 100vw, 402px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">How to remove Dynamic Data Masking<\/h2>\n\n\n\n<p>If e.g. we would like to remove the masking from the email column we should drop the mask as below:<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"sql\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\" data-no-translation=\"\" data-no-auto-translation=\"\">alter table pelates\nalter column email drop masked;<\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"388\" height=\"145\" src=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-9.png\" alt=\"\" class=\"wp-image-3093\" srcset=\"https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-9.png 388w, https:\/\/www.dataplatform.gr\/wp-content\/uploads\/2021\/03\/ddm-9-300x112.png 300w\" sizes=\"auto, (max-width: 388px) 100vw, 388px\" \/><\/figure>\n\n\n\n<p>Finally, in order to be able to add or remove a mask from a field, one must have the right <strong>ALTER ANY MASK<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sources:<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/docs.microsoft.com\/en-us\/sql\/relational-databases\/security\/dynamic-data-masking?view=sql-server-ver15\" target=\"_blank\" rel=\"noreferrer noopener\">Dynamic Data Masking<\/a><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>In this article we will analyze what Dynamic Data Masking is and what options we have for using it in SQL Server. Dynamic Data Masking is a function whose purpose is to hide sensitive data from the results of a query. It does not require the change in the application code and does not [\u2026]<\/p>","protected":false},"author":1,"featured_media":702,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,15],"tags":[141,29,23,30,6],"class_list":["post-3084","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-databases","category-ms-sqlserver","tag-data-masking","tag-databases","tag-microsoft","tag-rdbms","tag-sqlserver"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 Dynamic Data Masking \u03ba\u03b1\u03b9 \u03c0\u03c9\u03c2 \u03c4\u03bf \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bc\u03b5 \u03c3\u03c4\u03bf\u03bd SQL Server - DataPlatform.gr<\/title>\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.dataplatform.gr\/en\/ti-einai-dynamic-data-masking-kai-pos-to-energopoioyme\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 Dynamic Data Masking \u03ba\u03b1\u03b9 \u03c0\u03c9\u03c2 \u03c4\u03bf \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bc\u03b5 \u03c3\u03c4\u03bf\u03bd SQL Server - 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