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Davranışsal Biyometrinin 5 Yılı: Kimlik Doğrulama ve Anomali Tespit Uygulamaları

Fatma Gümüş
Oğuz Ata
Hasan Hüseyin Balık
Sayfa
345–364
Yayın Tarihi
2018-03-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Davranışsal biyometri yöntemleri üç ana başlıkta incelenmiştir: Vücut dinamiklerine dayalı davranışsal biyometri (yürüyüş ve üst vücut dinamikleri, ses ve konuşma, göz hareketleri ve bakış, dudak hareketleri), bilgisayar çevre bileşenleri ve taşınabilir cihaz etkileşimine dayalı davranışsal biyometri (tuş vuruş dinamikleri, fare etkileşimi, dokunmatik ekran etkileşimi, diğer taşınabilir cihaz etkileşimi), imza ve davranış dinamikleri.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Mevcut biyometrik kullanıcı doğrulama teknikleri ikiye ayrılabilir: fizyolojik ve davranışsal yaklaşımlar.
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Temel Bulgular & Veri:Fizyolojik biyometri, bir kişinin parmak izi, yüz, iris/retina ve el/avuç içi gibi fiziksel özellikleri ile ilişkili iken davranış biyometrisi, bir kişinin ses, yazılı imzalama, yürüyüş, yazım ritmi (tuş vuruş dinamikleri) ve dokunmatik dinamikleri gibi davranış modeliyle ilgilidir.
💡
Sonuç & Katkı:Davranışsal biyometri yöntemleri üç ana başlıkta incelenmiştir: Vücut dinamiklerine dayalı davranışsal biyometri (yürüyüş ve üst vücut dinamikleri, ses ve konuşma, göz hareketleri ve bakış, dudak hareketleri), bilgisayar çevre bileşenleri ve taşınabilir cihaz etkileşimine dayalı davranışsal biyometri (tuş vuruş dinamikleri, fare etkileşimi, dokunmatik ekran etkileşimi, diğer taşınabilir cihaz etkileşimi), imza ve davranış dinamikleri.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Davranışsal biyometri · biyometrik kimlik doğrulama · biyometrik anomali davranış tespiti

Özet

Mevcut biyometrik kullanıcı doğrulama teknikleri ikiye ayrılabilir: fizyolojik ve davranışsal yaklaşımlar. Fizyolojik biyometri, bir kişinin parmak izi, yüz, iris/retina ve el/avuç içi gibi fiziksel özellikleri ile ilişkili iken davranış biyometrisi, bir kişinin ses, yazılı imzalama, yürüyüş, yazım ritmi (tuş vuruş dinamikleri) ve dokunmatik dinamikleri gibi davranış modeliyle ilgilidir. Bu çalışmada son beş yılda en yaygın olarak incelenen davranışsal biyometri yöntemlerinin kimlik doğrulama ve anomali tespit uygulamalarında kullanılan öznitelikler ve çalışmaların performansları incelenmiştir. Davranışsal biyometri yöntemleri üç ana başlıkta incelenmiştir: Vücut dinamiklerine dayalı davranışsal biyometri (yürüyüş ve üst vücut dinamikleri, ses ve konuşma, göz hareketleri ve bakış, dudak hareketleri), bilgisayar çevre bileşenleri ve taşınabilir cihaz etkileşimine dayalı davranışsal biyometri (tuş vuruş dinamikleri, fare etkileşimi, dokunmatik ekran etkileşimi, diğer taşınabilir cihaz etkileşimi), imza ve davranış dinamikleri.

🔖

Bu Makaleye Atıf Yap

Gümüş, F., Ata, O., Balık, H. H. (2018). Davranışsal Biyometrinin 5 Yılı: Kimlik Doğrulama ve Anomali Tespit Uygulamaları. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 30 Sayı: 1, 345–364. https://ajindex.com/articles/1268264

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Kaynakça (142)

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  102. Kasprowski, P., ve Harezlak, K., (2016). "Fusion of eye movement and mouse dynamics for reliable behavioral biometrics", Pattern Analysis and Applications, 1-13
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  104. Liu, X., ve Cheung, Y. M., (2014). "Learning multi-boosted HMMs for lip-password based speaker verification", IEEE Transactions on Information Forensics and Security, 9(2): 233-246
  105. Wang, L., Tan, T., Ning, H., ve Hu, W. (2003). "Silhouette analysis-based gait recognition for human identification", IEEE transactions on pattern analysis and machine intelligence, 25(12): 1505-1518
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