Real-time electrocardiogram streams for continuous authentication Articles
Overview
published in
- APPLIED SOFT COMPUTING Journal
publication date
- July 2018
start page
- 784
end page
- 794
volume
- 68
Digital Object Identifier (DOI)
full text
International Standard Serial Number (ISSN)
- 1568-4946
Electronic International Standard Serial Number (EISSN)
- 1872-9681
abstract
- Security issues are becoming critical in modern smart systems. Particularly, ensuring that only legitimate users get access to them is essential. New access control systems must rely on continuous authentication (CA) to provide higher security level. To achieve this, recent research has shown how biological signals, such as electroencephalograms (EEGs) or electrocardiograms (ECGs), can be useful for this purpose. In this paper, we introduce a new CA scheme that, contrarily to previous works in this area, considers ECG signals as continuous data streams. The data stream paradigm is suitable for this scenario since algorithms tailored for data streams can cope with continuous data of a theoretical infinite length and with a certain variability. The proposed ECG-based CA system is intended for real-time applications and is able to offer an accuracy up to 96%, with an almost perfect system performance (kappa statistic >80%).
Classification
subjects
- Computer Science