Secure and Privacy Enhanced Gait Authentication on Smart Phone
Smart environments established by the development of mobile technology have brought vast benefits to human being. However, authentication mechanisms on portable smart devices, particularly conventional biometric based approaches, still remain security and privacy concerns. These traditional systems...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/438254 |
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| _version_ | 1832551457441710080 |
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| author | Thang Hoang Deokjai Choi |
| author_facet | Thang Hoang Deokjai Choi |
| author_sort | Thang Hoang |
| collection | DOAJ |
| description | Smart environments established by the development of mobile technology have brought vast benefits to human being. However, authentication mechanisms on portable smart devices, particularly conventional biometric based approaches, still remain security and privacy concerns. These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. In this paper, we propose a novel gait based authentication using biometric cryptosystem to enhance the system security and user privacy on the smart phone. Extracted gait features are merely used to biometrically encrypt a cryptographic key which is acted as the authentication factor. Gait signals are acquired by using an inertial sensor named accelerometer in the mobile device and error correcting codes are adopted to deal with the natural variation of gait measurements. We evaluate our proposed system on a dataset consisting of gait samples of 34 volunteers. We achieved the lowest false acceptance rate (FAR) and false rejection rate (FRR) of 3.92% and 11.76%, respectively, in terms of key length of 50 bits. |
| format | Article |
| id | doaj-art-41d394b044d6402882409bc9fc1bc7ed |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-41d394b044d6402882409bc9fc1bc7ed2025-02-03T06:01:19ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/438254438254Secure and Privacy Enhanced Gait Authentication on Smart PhoneThang Hoang0Deokjai Choi1Department of Electronics and Computer Engineering, Chonnam National University, Gwangju 500-757, Republic of KoreaDepartment of Electronics and Computer Engineering, Chonnam National University, Gwangju 500-757, Republic of KoreaSmart environments established by the development of mobile technology have brought vast benefits to human being. However, authentication mechanisms on portable smart devices, particularly conventional biometric based approaches, still remain security and privacy concerns. These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. In this paper, we propose a novel gait based authentication using biometric cryptosystem to enhance the system security and user privacy on the smart phone. Extracted gait features are merely used to biometrically encrypt a cryptographic key which is acted as the authentication factor. Gait signals are acquired by using an inertial sensor named accelerometer in the mobile device and error correcting codes are adopted to deal with the natural variation of gait measurements. We evaluate our proposed system on a dataset consisting of gait samples of 34 volunteers. We achieved the lowest false acceptance rate (FAR) and false rejection rate (FRR) of 3.92% and 11.76%, respectively, in terms of key length of 50 bits.http://dx.doi.org/10.1155/2014/438254 |
| spellingShingle | Thang Hoang Deokjai Choi Secure and Privacy Enhanced Gait Authentication on Smart Phone The Scientific World Journal |
| title | Secure and Privacy Enhanced Gait Authentication on Smart Phone |
| title_full | Secure and Privacy Enhanced Gait Authentication on Smart Phone |
| title_fullStr | Secure and Privacy Enhanced Gait Authentication on Smart Phone |
| title_full_unstemmed | Secure and Privacy Enhanced Gait Authentication on Smart Phone |
| title_short | Secure and Privacy Enhanced Gait Authentication on Smart Phone |
| title_sort | secure and privacy enhanced gait authentication on smart phone |
| url | http://dx.doi.org/10.1155/2014/438254 |
| work_keys_str_mv | AT thanghoang secureandprivacyenhancedgaitauthenticationonsmartphone AT deokjaichoi secureandprivacyenhancedgaitauthenticationonsmartphone |