TDAS: a touch dynamics based multi-factor authentication solution for mobile devices. Issue 1 (4th April 2016)
- Record Type:
- Journal Article
- Title:
- TDAS: a touch dynamics based multi-factor authentication solution for mobile devices. Issue 1 (4th April 2016)
- Main Title:
- TDAS: a touch dynamics based multi-factor authentication solution for mobile devices
- Authors:
- Teh, Pin Shen
Zhang, Ning
Teoh, Andrew Beng Jin
Chen, Ke - Abstract:
- Abstract : Purpose: The use of mobile devices in handling our daily activities that involve the storage or access of sensitive data (e.g. on-line banking, paperless prescription services, etc.) is becoming very common. These mobile electronic services typically use a knowledge-based authentication method to authenticate a user (claimed identity). However, this authentication method is vulnerable to several security attacks. To counter the attacks and to make the authentication process more secure, this paper aims to investigate the use of touch dynamics biometrics in conjunction with a personal identification number (PIN)-based authentication method, and demonstrate its benefits in terms of strengthening the security of authentication services for mobile devices. Design/methodology/approach: The investigation has made use of three light-weighted matching functions and a comprehensive reference data set collected from 150 subjects. Findings: The investigative results show that, with this multi-factor authentication approach, even when the PIN is exposed, as much as nine out of ten impersonation attempts can be successfully identified. It has also been discovered that the accuracy performance can be increased by combining different feature data types and by increasing the input string length. Originality/value: The novel contributions of this paper are twofold. Firstly, it describes how a comprehensive experiment is set up to collect touch dynamics biometrics data, and the setAbstract : Purpose: The use of mobile devices in handling our daily activities that involve the storage or access of sensitive data (e.g. on-line banking, paperless prescription services, etc.) is becoming very common. These mobile electronic services typically use a knowledge-based authentication method to authenticate a user (claimed identity). However, this authentication method is vulnerable to several security attacks. To counter the attacks and to make the authentication process more secure, this paper aims to investigate the use of touch dynamics biometrics in conjunction with a personal identification number (PIN)-based authentication method, and demonstrate its benefits in terms of strengthening the security of authentication services for mobile devices. Design/methodology/approach: The investigation has made use of three light-weighted matching functions and a comprehensive reference data set collected from 150 subjects. Findings: The investigative results show that, with this multi-factor authentication approach, even when the PIN is exposed, as much as nine out of ten impersonation attempts can be successfully identified. It has also been discovered that the accuracy performance can be increased by combining different feature data types and by increasing the input string length. Originality/value: The novel contributions of this paper are twofold. Firstly, it describes how a comprehensive experiment is set up to collect touch dynamics biometrics data, and the set of collected data is being made publically available, which may facilitate further research in the problem domain. Secondly, the paper demonstrates how the data set may be used to strengthen the protection of resources that are accessible via mobile devices. … (more)
- Is Part Of:
- International journal of pervasive computing and communications. Volume 12:Issue 1(2016)
- Journal:
- International journal of pervasive computing and communications
- Issue:
- Volume 12:Issue 1(2016)
- Issue Display:
- Volume 12, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 12
- Issue:
- 1
- Issue Sort Value:
- 2016-0012-0001-0000
- Page Start:
- 127
- Page End:
- 153
- Publication Date:
- 2016-04-04
- Subjects:
- Touch dynamics -- Biometrics -- Benchmark data set -- Keystroke dynamics -- Mobile authentication
Ubiquitous computing -- Periodicals
Mobile computing -- Periodicals
Computer network protocols -- Periodicals
Computer network architectures -- Periodicals
Application software -- Development -- Periodicals
004.6 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?PHPSESSID=hprfp8ctb78gnbgodr3rkog6s0&id=ijpcc ↗
http://www.emeraldinsight.com/ ↗
http://www.troubador.co.uk/jpcc/ ↗ - DOI:
- 10.1108/IJPCC-01-2016-0005 ↗
- Languages:
- English
- ISSNs:
- 1742-7371
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.452750
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9889.xml