Classification of data anonymization techniques

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dc.contributor.authorKoyuncu, Hakan
dc.contributor.authorAltaher, Raoof
dc.date.accessioned2025-07-30T07:37:44Z
dc.date.available2025-07-30T07:37:44Z
dc.date.issued2025
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractIn a world where data is becoming more valuable, finding new ways to keep our privacy safe against the tide of tech progress is more important than ever. This chapter dives deep into the world of anonymizing data in plain sight, blending deep thought with real-world uses, especially when it comes to the innovative industries of today and digital security. The chapter delves into the entire realm of data anonymization, encompassing basic techniques such as masking and expanding data, as well as intricate methods such as mathematically guaranteeing privacy and encrypting data while maintaining its usability. The discussion also focuses on how artificial intelligence (AI) is changing the game, making data anonymization more accessible. When talking about the new industrial revolution, it highlights how crucial AI is for making things run smoothly, from the Internet of Things to factories of the future, all while keeping our digital selves under wraps. Moreover, the chapter walks through the minefield of moral and legal rules, stressing the double challenge of following laws like the General Data Protection Regulation and California Consumer Privacy Act and the moral duty to keep individual privacy intact. It thoughtfully weighs the balance between keeping privacy sacred and making the most of data for the good of society and business. This key piece of work weaves together the theory and practice of making data anonymous, shining a spotlight on the vital role of AI and the need to keep evolving to meet the privacy challenges of our digital age. It sets the stage for more studies, policymaking, and ethical discussions on keeping our data safe, showing just how essential these strategies are in our data-soaked world.
dc.identifier.citationKoyuncu, H., & Altaher, R. (2025). Classification of data anonymization techniques. In Artificial Intelligence for Cyber Security and Industry 4.0. CRC Press, 57-96. 10.1201/9781032657264-3
dc.identifier.doi10.1201/9781032657264-3
dc.identifier.endpage96
dc.identifier.isbn9781040345535
dc.identifier.isbn9781032621463
dc.identifier.scopus2-s2.0-105002914905
dc.identifier.startpage57
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5807
dc.indekslendigikaynakScopus
dc.institutionauthorKoyuncu, Hakan
dc.institutionauthorAltaher, Raoof
dc.language.isoen
dc.publisherCRC Press
dc.relation.ispartofArtificial Intelligence for Cyber Security and Industry 4.0
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectdata anonymization techniques
dc.titleClassification of data anonymization techniques
dc.typeBook Chapter

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