A new secure storing system for biometric templates based encryption and concealment

The security of templates is the critical part of biometric system and one of the most crucial issues in any proposed system. In fact, features such as voice, face, fingerprints and many others can be covertly acquired or stolen by an attacker and misused. Therefore, storing biometric templates a se...

Full description

Bibliographic Details
Main Authors: Khalaf, Emad Taha, Norrozila, Sulaiman
Format: Article
Language:English
Published: Asian Network for Scientific Information 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/21531/
http://umpir.ump.edu.my/id/eprint/21531/
http://umpir.ump.edu.my/id/eprint/21531/1/A%20new%20secure%20storing%20system%20for%20biometric%20templates%20based%20encryption%20and%20concealment.pdf
id ump-21531
recordtype eprints
spelling ump-215312018-07-09T06:53:32Z http://umpir.ump.edu.my/id/eprint/21531/ A new secure storing system for biometric templates based encryption and concealment Khalaf, Emad Taha Norrozila, Sulaiman QA76 Computer software The security of templates is the critical part of biometric system and one of the most crucial issues in any proposed system. In fact, features such as voice, face, fingerprints and many others can be covertly acquired or stolen by an attacker and misused. Therefore, storing biometric templates a secure way is crucial. This study proposes a novel approach that combines an improved encryption method with a new concealment technique to establish a secure data template storing system. The Hill Cipher algorithm has been improved to be more secure by using a large and random key with large data block and also extending it to include the special characters. In the other hand a new concealment method proposed by combine two of the popular methods DWT and DCT for embedding and extraction the secret data in order to compensate the drawbacks of both of them and to make the hidden information much more secure against the attacks, wavelet transform which use dyadic filters to decompose cover image into 4-levels (HH, HL, LH and LL) and discrete cosine Transforms to convert a signal of the selected coefficients (HH, HL and LH) into elementary frequency components then according to the percentages entering by a user the encrypted data will distribute. The efficiency of encryption and concealment have been checked out with a number of widely used metrics such as Peak Signal to Noise Ratio (PSNR) and Normalized Correlation Coefficient (NCC). Asian Network for Scientific Information 2015 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21531/1/A%20new%20secure%20storing%20system%20for%20biometric%20templates%20based%20encryption%20and%20concealment.pdf Khalaf, Emad Taha and Norrozila, Sulaiman (2015) A new secure storing system for biometric templates based encryption and concealment. Journal of Applied Sciences, 15. pp. 773-782. ISSN 1812-5654 http://docsdrive.com/pdfs/ansinet/jas/2015/773-782.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Khalaf, Emad Taha
Norrozila, Sulaiman
A new secure storing system for biometric templates based encryption and concealment
description The security of templates is the critical part of biometric system and one of the most crucial issues in any proposed system. In fact, features such as voice, face, fingerprints and many others can be covertly acquired or stolen by an attacker and misused. Therefore, storing biometric templates a secure way is crucial. This study proposes a novel approach that combines an improved encryption method with a new concealment technique to establish a secure data template storing system. The Hill Cipher algorithm has been improved to be more secure by using a large and random key with large data block and also extending it to include the special characters. In the other hand a new concealment method proposed by combine two of the popular methods DWT and DCT for embedding and extraction the secret data in order to compensate the drawbacks of both of them and to make the hidden information much more secure against the attacks, wavelet transform which use dyadic filters to decompose cover image into 4-levels (HH, HL, LH and LL) and discrete cosine Transforms to convert a signal of the selected coefficients (HH, HL and LH) into elementary frequency components then according to the percentages entering by a user the encrypted data will distribute. The efficiency of encryption and concealment have been checked out with a number of widely used metrics such as Peak Signal to Noise Ratio (PSNR) and Normalized Correlation Coefficient (NCC).
format Article
author Khalaf, Emad Taha
Norrozila, Sulaiman
author_facet Khalaf, Emad Taha
Norrozila, Sulaiman
author_sort Khalaf, Emad Taha
title A new secure storing system for biometric templates based encryption and concealment
title_short A new secure storing system for biometric templates based encryption and concealment
title_full A new secure storing system for biometric templates based encryption and concealment
title_fullStr A new secure storing system for biometric templates based encryption and concealment
title_full_unstemmed A new secure storing system for biometric templates based encryption and concealment
title_sort new secure storing system for biometric templates based encryption and concealment
publisher Asian Network for Scientific Information
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/21531/
http://umpir.ump.edu.my/id/eprint/21531/
http://umpir.ump.edu.my/id/eprint/21531/1/A%20new%20secure%20storing%20system%20for%20biometric%20templates%20based%20encryption%20and%20concealment.pdf
first_indexed 2023-09-18T22:31:38Z
last_indexed 2023-09-18T22:31:38Z
_version_ 1777416324275765248