{"id":476669,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:12","modified_gmt":"2023-09-05T11:13:12","slug":"data-masking","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/data-masking\/","title":{"rendered":"Veri maskeleme"},"content":{"rendered":"<p>Veri maskeleme, hassas, \u00f6zel ve gizli bilgileri yetkisiz eri\u015fime kar\u015f\u0131 korumak i\u00e7in veri g\u00fcvenli\u011finde kullan\u0131lan bir i\u015flemdir. Ger\u00e7ek verilere ihtiya\u00e7 duyulmayan senaryolarda kullan\u0131labilecek, verilerin yap\u0131sal olarak benzer ancak orijinal olmayan bir versiyonunun olu\u015fturulmas\u0131n\u0131 i\u00e7erir. Veri maskeleme, bilgilerin yaz\u0131l\u0131m testi ve kullan\u0131c\u0131 e\u011fitimi gibi s\u00fcre\u00e7lerde yararl\u0131 kalmas\u0131n\u0131 sa\u011flarken ayn\u0131 zamanda veri gizlili\u011fini de korur.<\/p>\n<h2>Veri Maskelemenin Evrimi<\/h2>\n<p>Veri maskeleme kavram\u0131n\u0131n k\u00f6kleri, 20. y\u00fczy\u0131l\u0131n sonlar\u0131nda dijital veritabanlar\u0131n\u0131n y\u00fckseli\u015fine kadar uzanmaktad\u0131r. Kurumlar dijital verilerinin de\u011ferini ve savunmas\u0131zl\u0131\u011f\u0131n\u0131 anlamaya ba\u015flad\u0131k\u00e7a koruyucu \u00f6nlemlere duyulan ihtiya\u00e7 ortaya \u00e7\u0131kt\u0131. Veri maskelemenin ilk teknikleri kabayd\u0131 ve genellikle basit karakter de\u011fi\u015ftirme veya kar\u0131\u015ft\u0131rmay\u0131 i\u00e7eriyordu.<\/p>\n<p>Veri maskelemenin belgelenen ilk s\u00f6z\u00fc, Bilgisayar Destekli Yaz\u0131l\u0131m M\u00fchendisli\u011fi (CASE) ara\u00e7lar\u0131n\u0131n ortaya \u00e7\u0131k\u0131\u015f\u0131yla 1980&#039;lere kadar uzan\u0131r. Bu ara\u00e7lar, yaz\u0131l\u0131m geli\u015ftirme s\u00fcre\u00e7lerini iyile\u015ftirmek i\u00e7in tasarland\u0131 ve \u00f6zelliklerinden biri, esasen veri maskelemenin erken bir bi\u00e7imi olan test ve geli\u015ftirme ama\u00e7lar\u0131 i\u00e7in sahte veya ikame veriler sa\u011flamakt\u0131.<\/p>\n<h2>Veri Maskelemeyi Anlamak<\/h2>\n<p>Veri maskeleme, hassas verilerin kurgusal ancak operasyonel verilerle de\u011fi\u015ftirilmesi temelinde \u00e7al\u0131\u015f\u0131r. Kurumlar\u0131n, veri sahiplerinin kimliklerinin veya hassas bilgilerinin a\u00e7\u0131\u011fa \u00e7\u0131kmas\u0131 riski olmadan veritabanlar\u0131n\u0131 kullanmalar\u0131na ve payla\u015fmalar\u0131na olanak tan\u0131r.<\/p>\n<p>Veri maskeleme s\u00fcreci genellikle hassas verilerin tan\u0131mland\u0131\u011f\u0131 veri s\u0131n\u0131fland\u0131rmas\u0131; Verilerin gizlenme y\u00f6nteminin belirlendi\u011fi maskeleme kural\u0131 tan\u0131m\u0131; ve son olarak ger\u00e7ek verilerin uydurma bilgilerle de\u011fi\u015ftirildi\u011fi maskeleme s\u00fcreci.<\/p>\n<p>Veri maskeleme, veri gizlili\u011fi ve ki\u015fisel verilerin kullan\u0131m\u0131na ili\u015fkin kat\u0131 kurallar uygulayan Genel Veri Koruma Y\u00f6netmeli\u011fi (GDPR) ve Kaliforniya T\u00fcketici Gizlili\u011fi Yasas\u0131 (CCPA) gibi d\u00fczenlemeler ba\u011flam\u0131nda \u00f6zellikle \u00f6nemlidir.<\/p>\n<h2>Veri Maskelemenin \u0130\u015fleyi\u015fi<\/h2>\n<p>Veri maskeleme \u00f6z\u00fcnde ger\u00e7ek verilerin de\u011fi\u015ftirilmesini veya gizlenmesini i\u00e7erir. Bu de\u011fi\u015ftirme, maskelenmi\u015f verilerin orijinal verilerle ayn\u0131 format\u0131, uzunlu\u011fu ve genel g\u00f6r\u00fcn\u00fcm\u00fc koruyaca\u011f\u0131 ve b\u00f6ylece gizlili\u011fini korurken kullan\u0131\u015fl\u0131l\u0131\u011f\u0131n\u0131 da koruyaca\u011f\u0131 \u015fekilde ger\u00e7ekle\u015fir.<\/p>\n<p>\u00d6rne\u011fin, bir kredi kart\u0131 numaras\u0131 ilk ve son d\u00f6rt haneyi koruyarak ancak ortadaki rakamlar\u0131 rastgele say\u0131larla de\u011fi\u015ftirerek maskelenebilir veya bir e-posta adresi, &quot;@&quot; simgesinden \u00f6nceki karakterleri de\u011fi\u015ftirerek ancak genel yap\u0131y\u0131 koruyarak maskelenebilir. bir e-posta bi\u00e7imindedir.<\/p>\n<h2>Veri Maskelemenin Temel \u00d6zellikleri<\/h2>\n<ul>\n<li><strong>Veri g\u00fcvenli\u011fi:<\/strong> Hassas verilerin yetkisiz eri\u015fime kar\u015f\u0131 korunmas\u0131na yard\u0131mc\u0131 olur.<\/li>\n<li><strong>Veri Kullan\u0131labilirli\u011fi:<\/strong> Maskelenen veriler yap\u0131sal b\u00fct\u00fcnl\u00fc\u011f\u00fc koruyarak geli\u015ftirme, analitik ve test ihtiya\u00e7lar\u0131 i\u00e7in kullan\u0131labilir kalmas\u0131n\u0131 sa\u011flar.<\/li>\n<li><strong>Mevzuata uygunluk:<\/strong> Kurumlar\u0131n veri koruma d\u00fczenlemelerine uymas\u0131na yard\u0131mc\u0131 olur.<\/li>\n<li><strong>Riski Azalt\u0131r:<\/strong> Hassas verileri kald\u0131rarak veri ihlalleriyle ili\u015fkili riski s\u0131n\u0131rland\u0131r\u0131r.<\/li>\n<\/ul>\n<h2>Veri Maskeleme T\u00fcrleri<\/h2>\n<p>Veri maskeleme teknikleri d\u00f6rt ana kategoriye ayr\u0131labilir:<\/p>\n<ol>\n<li><strong>Statik Veri Maskeleme (SDM):<\/strong> SDM, veritaban\u0131ndaki verileri maskeler ve veritaban\u0131n\u0131n yeni, maskelenmi\u015f bir kopyas\u0131n\u0131 olu\u015fturur. Bu maskelenmi\u015f veriler daha sonra \u00fcretim d\u0131\u015f\u0131 ortamda kullan\u0131l\u0131r.<\/li>\n<li><strong>Dinamik Veri Maskeleme (DDM):<\/strong> DDM, veritaban\u0131ndaki verileri de\u011fi\u015ftirmez ancak veritaban\u0131na sorgu yap\u0131ld\u0131\u011f\u0131nda verileri maskeler.<\/li>\n<li><strong>An\u0131nda Veri Maskeleme:<\/strong> Bu, genellikle veri aktar\u0131m\u0131 s\u0131ras\u0131nda kullan\u0131lan ger\u00e7ek zamanl\u0131 bir veri maskeleme tekni\u011fidir.<\/li>\n<li><strong>Bellek \u0130\u00e7i Veri Maskeleme:<\/strong> Bu teknikte veriler \u00f6nbellekte veya uygulama haf\u0131za katman\u0131nda maskelenir.<\/li>\n<\/ol>\n<h2>Veri Maskeleme Uygulamalar\u0131 ve Zorluklar<\/h2>\n<p>Veri maskeleme sa\u011fl\u0131k, finans, perakende gibi sekt\u00f6rlerde ve hassas kullan\u0131c\u0131 verileriyle u\u011fra\u015fan t\u00fcm sekt\u00f6rlerde yayg\u0131n olarak kullan\u0131lmaktad\u0131r. Yaz\u0131l\u0131m testi, veri analizi ve e\u011fitim gibi \u00fcretim d\u0131\u015f\u0131 g\u00f6revlerde yayg\u0131n olarak kullan\u0131l\u0131r.<\/p>\n<p>Ancak veri maskeleme ayn\u0131 zamanda zorluklar\u0131 da beraberinde getirir. \u0130\u015flem, verileri koruyacak kadar kapsaml\u0131 olmal\u0131, ancak maskelenen verilerin kullan\u0131\u015fl\u0131l\u0131\u011f\u0131n\u0131 azaltacak kadar kapsaml\u0131 olmamal\u0131d\u0131r. Ayr\u0131ca sistem performans\u0131n\u0131 veya veri alma s\u00fcrecini etkilememelidir.<\/p>\n<h2>Kar\u015f\u0131la\u015ft\u0131rmalar ve \u00d6zellikler<\/h2>\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th>Veri Maskeleme<\/th>\n<th>Veri \u015fifreleme<\/th>\n<th>Veri Anonimle\u015ftirme<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Verileri de\u011fi\u015ftirir<\/td>\n<td>Evet<\/td>\n<td>HAYIR<\/td>\n<td>Evet<\/td>\n<\/tr>\n<tr>\n<td>Tersine \u00e7evrilebilir<\/td>\n<td>Evet<\/td>\n<td>Evet<\/td>\n<td>HAYIR<\/td>\n<\/tr>\n<tr>\n<td>Ger\u00e7ek zamanl\u0131<\/td>\n<td>T\u00fcr\u00fcne ba\u011fl\u0131d\u0131r<\/td>\n<td>Evet<\/td>\n<td>HAYIR<\/td>\n<\/tr>\n<tr>\n<td>Format\u0131 korur<\/td>\n<td>Evet<\/td>\n<td>HAYIR<\/td>\n<td>Y\u00f6nteme ba\u011fl\u0131d\u0131r<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Veri Maskelemenin Gelece\u011fi<\/h2>\n<p>Veri maskelemenin gelece\u011fi b\u00fcy\u00fck \u00f6l\u00e7\u00fcde yapay zeka ve makine \u00f6\u011frenimindeki ilerlemelerin yan\u0131 s\u0131ra veri gizlili\u011fi yasalar\u0131n\u0131n geli\u015fen manzaras\u0131 taraf\u0131ndan belirlenecek. Maskeleme teknikleri muhtemelen daha karma\u015f\u0131k hale gelecek ve otomatik \u00e7\u00f6z\u00fcmlerin yayg\u0131nl\u0131\u011f\u0131 artacakt\u0131r. Bulut teknolojileri ve hizmet olarak veri platformlar\u0131yla daha fazla entegrasyon da bekleniyor.<\/p>\n<h2>Proxy Sunucular\u0131 ve Veri Maskeleme<\/h2>\n<p>Proxy sunucular\u0131, kullan\u0131c\u0131 ile sunucu aras\u0131nda arac\u0131 g\u00f6revi g\u00f6rerek veri maskeleme \u00e7abalar\u0131na katk\u0131da bulunabilir, b\u00f6ylece ekstra bir anonimlik ve veri g\u00fcvenli\u011fi katman\u0131 ekleyebilir. Ayr\u0131ca kullan\u0131c\u0131ya ek gizlilik sa\u011flayarak co\u011frafi konum maskeleme de sa\u011flayabilirler.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ol>\n<li><a href=\"https:\/\/www.oracle.com\/database\/technologies\/security\/data-masking-subsetting.html\" target=\"_new\" rel=\"noopener nofollow\">Veri Maskelemenin En \u0130yi Uygulamas\u0131 \u2013 Oracle<\/a><\/li>\n<li><a href=\"https:\/\/www.ibm.com\/security\/data-security\/data-masking\" target=\"_new\" rel=\"noopener nofollow\">Veri Maskeleme \u2013 IBM<\/a><\/li>\n<li><a href=\"https:\/\/www.informatica.com\/services-and-training\/glossary-of-terms\/data-masking-definition.html\" target=\"_new\" rel=\"noopener nofollow\">Veri Maskeleme: Bilmeniz Gerekenler \u2013 Informatica<\/a><\/li>\n<\/ol>\n<p>Kurulu\u015flar, veri maskelemeyi anlay\u0131p uygulayarak hassas bilgilerini daha iyi koruyabilir, d\u00fczenleyici gerekliliklere uyabilir ve verilerin a\u00e7\u0131\u011fa \u00e7\u0131kmas\u0131yla ili\u015fkili riskleri azaltabilir. Gizlilik endi\u015feleri ve veri d\u00fczenlemeleri geli\u015fmeye devam ettik\u00e7e, veri maskelemenin rol\u00fc ve teknikleri \u015f\u00fcphesiz daha \u00f6nemli hale gelecektir.<\/p>","protected":false},"featured_media":476670,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476669","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Data Masking: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Data Masking?","answer":"<p>Data masking is a process used in data security to protect sensitive, private, and confidential information from unauthorized access. It involves creating a structurally similar yet inauthentic version of the data, ensuring the information remains useful for processes such as software testing and user training while maintaining data privacy.<\/p>"},{"question":"When was Data Masking first mentioned?","answer":"<p>Data masking was first mentioned in the 1980s with the advent of Computer Aided Software Engineering (CASE) tools. These tools were designed to provide mock or substitute data for testing and development purposes, an early form of data masking.<\/p>"},{"question":"How does Data Masking work?","answer":"<p>Data masking works by replacing or obfuscating real data with fictitious yet operational data. This process ensures the masked data maintains the same format, length, and overall appearance as the original data, thereby preserving its utility while safeguarding its privacy.<\/p>"},{"question":"What are the key features of Data Masking?","answer":"<p>The key features of data masking include data security, data usability, regulatory compliance, and risk reduction. It protects sensitive data, ensures the masked data is usable for various needs, helps institutions comply with data protection regulations, and limits the risk associated with data breaches.<\/p>"},{"question":"What types of Data Masking exist?","answer":"<p>There are four primary types of data masking: Static Data Masking (SDM), Dynamic Data Masking (DDM), On-the-fly Data Masking, and In-memory Data Masking.<\/p>"},{"question":"What are some applications and challenges of Data Masking?","answer":"<p>Data masking is used in sectors like healthcare, finance, retail, and any industry dealing with sensitive user data. It is used for non-production tasks such as software testing, data analysis, and training. However, it must be thorough enough to protect the data, not degrade the utility of the masked data, and should not impact system performance or the data retrieval process.<\/p>"},{"question":"How does Data Masking compare to similar processes?","answer":"<p>Unlike data encryption which does not change the data but makes it unreadable without a key, data masking alters the data while maintaining its format. Data anonymization, on the other hand, alters the data and is irreversible, unlike data masking which can be reversed.<\/p>"},{"question":"What is the future of Data Masking?","answer":"<p>The future of data masking will be influenced by advances in AI and machine learning, as well as evolving data privacy laws. Masking techniques will likely become more sophisticated, and automated solutions will increase in prevalence. Integration with cloud technologies and data-as-a-service platforms is also expected.<\/p>"},{"question":"How can Proxy Servers be used with Data Masking?","answer":"<p>Proxy servers can contribute to data masking efforts by acting as an intermediary between the user and the server, adding an extra layer of anonymity and data security. They can also provide geolocation masking, providing additional privacy for the user.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476669","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/476669\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/476670"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=476669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}