Document Details

Document Type : Thesis 
Document Title :
BIOSTASH: TRIPLE SECURITY FOR ENCODED MATCHING OF FINGERPRINT DATA IN THE CLOUD
الأمان الثلاثي للمطابقة المشفرة لبيانات بصمات الأصابع في السحابة
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Recently, biometric data plays an important role as an identity authentication technique. Biometric authentication considered a promising technology used across multiple systems to provide a reliable verification. However, designing a biometrics authentication system that are effectively secure in the cloud environment remains a research challenge. In this research, we aim to handle privacy and security issue of biometrics data (i.e. fingerprints) in the cloud by proposing BioStash algorithm. BioStash algorithm achieves high-level of security and privacy by applying triple security layers. First, BioStash algorithm transforms and encrypts user's fingerprint data. Then, BioStash embeds a shared secret key inside the encrypted fingerprint. At the final layer, BioStash algorithm distributes all the shares over multiple clouds. During fingerprint matching process, BioStash matches the fingerprints in their secure encoded form without decoding the data in order to preserve the privacy. In addition, BioStash uses multithreading to handle multi-shares over multiple clouds in parallel. The experimental results show that BioStash system has a faster matching time while achieves comparable accuracy compared to the baselines. Further, we proved that our proposed system provides a promising solution to improve privacy and security of fingerprint data in the cloud. 
Supervisor : Dr. Fahad Alsolami 
Thesis Type : Master Thesis 
Publishing Year : 1439 AH
2018 AD 
Added Date : Thursday, June 7, 2018 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
بيان طه الزهرانيAlzahrani, Bayan TahaResearcherMaster 

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