TR
EN
Gene Mining and Privacy by the Emerging High Tech
Öz
Gene mining is a critical data mining process that enables the identification of genetic predispositions and disease risks by analyzing Deoxyribonucleic Acid-DNA data. Within this process, using emerging high tech such as artificial intelligence (AI) and Quantum Computers-QC emerge as innovative technologies that enhance analytical power. AI algorithms and data mining techniques facilitate the discovery of genetic patterns, while QC enable highly accurate analyses even in complex and large datasets. These advancements allow for a faster, more in-depth and reliable examination of DNA data, providing substantial contributions to genetic research. However, the sensitive nature of DNA data necessitates stringent measures for personal privacy and data security. In this context, Blockchain Technologies-BCT offers an effective solution for the secure storage, anonymization and controlled sharing of DNA data exclusively with authorized entities. The distributed and immutable structure of Blockchain Technology-BCT safeguards data while AI and quantum technologies contribute speed and precision to gene mining. This article examines the contributions of AI, data mining and QC to gene mining and underscores the importance of BCT in preserving personal privacy. This study examines the contributions of AI, QC, and BCT in gene mining, emphasizing the importance of BCT in ensuring data privacy and security. In particular, while providing a high level of security for the protection of personal and sensitive data such as DNA, the integrated use of these technologies plays a critical role in establishing new standards for data privacy.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Yazılım Mühendisliği (Diğer)
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
29 Haziran 2025
Gönderilme Tarihi
10 Aralık 2024
Kabul Tarihi
14 Mayıs 2025
Yayımlandığı Sayı
Yıl 2025 Cilt: 10 Sayı: 1
APA
Yıldırım, H., & Ünal, C. (2025). Gene Mining and Privacy by the Emerging High Tech. Sinop Üniversitesi Fen Bilimleri Dergisi, 10(1), 200-233. https://doi.org/10.33484/sinopfbd.1599550
AMA
1.Yıldırım H, Ünal C. Gene Mining and Privacy by the Emerging High Tech. Sinopfbd. 2025;10(1):200-233. doi:10.33484/sinopfbd.1599550
Chicago
Yıldırım, Hakan, ve Cihan Ünal. 2025. “Gene Mining and Privacy by the Emerging High Tech”. Sinop Üniversitesi Fen Bilimleri Dergisi 10 (1): 200-233. https://doi.org/10.33484/sinopfbd.1599550.
EndNote
Yıldırım H, Ünal C (01 Haziran 2025) Gene Mining and Privacy by the Emerging High Tech. Sinop Üniversitesi Fen Bilimleri Dergisi 10 1 200–233.
IEEE
[1]H. Yıldırım ve C. Ünal, “Gene Mining and Privacy by the Emerging High Tech”, Sinopfbd, c. 10, sy 1, ss. 200–233, Haz. 2025, doi: 10.33484/sinopfbd.1599550.
ISNAD
Yıldırım, Hakan - Ünal, Cihan. “Gene Mining and Privacy by the Emerging High Tech”. Sinop Üniversitesi Fen Bilimleri Dergisi 10/1 (01 Haziran 2025): 200-233. https://doi.org/10.33484/sinopfbd.1599550.
JAMA
1.Yıldırım H, Ünal C. Gene Mining and Privacy by the Emerging High Tech. Sinopfbd. 2025;10:200–233.
MLA
Yıldırım, Hakan, ve Cihan Ünal. “Gene Mining and Privacy by the Emerging High Tech”. Sinop Üniversitesi Fen Bilimleri Dergisi, c. 10, sy 1, Haziran 2025, ss. 200-33, doi:10.33484/sinopfbd.1599550.
Vancouver
1.Hakan Yıldırım, Cihan Ünal. Gene Mining and Privacy by the Emerging High Tech. Sinopfbd. 01 Haziran 2025;10(1):200-33. doi:10.33484/sinopfbd.1599550
Cited By
Quantum-resilient blockchain framework for privacy-preserving genomic data sharing and analysis
Journal of Information Security and Applications
https://doi.org/10.1016/j.jisa.2025.104245