Multi-factor authentication using accelerometers for the Internet-of-Things
| Title | Multi-factor authentication using accelerometers for the Internet-of-Things |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Murphy, J., Howells, G., McDonald-Maier, K. D. |
| Conference Name | 2017 Seventh International Conference on Emerging Security Technologies (EST) |
| Publisher | IEEE |
| ISBN Number | 978-1-5386-4018-0 |
| Keywords | Accelerometers, authentication, embedded devices, Embedded systems, experimental embedded system, Hardware, Human Behavior, human factor, human factors, Internet of Things, Internet-of-Things, IoT, Metrics, mobile computing, mobile devices, Multi-factor authentication, multifactor authentication, Pins, Protocols, pubcrawl, resilience, Resiliency, security harvesting, security of data, sensor security |
| Abstract | Embedded and mobile devices forming part of the Internet-of-Things (IoT) need new authentication technologies and techniques. This requirement is due to the increase in effort and time attackers will use to compromise a device, often remote, based on the possibility of a significant monetary return. This paper proposes exploiting a device's accelerometers in-built functionality to implement multi-factor authentication. An experimental embedded system designed to emulate a typical mobile device is used to implement the ideas and investigated as proof-of-concept. |
| URL | https://ieeexplore.ieee.org/document/8090407 |
| DOI | 10.1109/EST.2017.8090407 |
| Citation Key | murphy_multi-factor_2017 |
- Metrics
- sensor security
- security of data
- security harvesting
- Resiliency
- resilience
- pubcrawl
- Protocols
- Pins
- multifactor authentication
- Multi-factor authentication
- mobile devices
- mobile computing
- Accelerometers
- IoT
- Internet-of-Things
- Internet of Things
- Human Factors
- human factor
- Human behavior
- Hardware
- experimental embedded system
- embedded systems
- embedded devices
- authentication