Auxiliary biometrics are some personal features which themselves are not enough to represent standalone biometric traits but can provide additional information about the characteristics of person to aid the person identification process.
Published in Chapter:
Social Behavioral Biometrics in Smart Societies
Sanjida Nasreen Tumpa (University of Calgary, Canada), K. N. Pavan Kumar (University of Calgary, Canada), Madeena Sultana (University of Calgary, Canada), Gee-Sern Jison Hsu (National Taiwan University of Science and Technology, Taiwan), Orly Yadid-Pecht (University of Calgary, Canada), Svetlana Yanushkevich (University of Calgary, Canada), and
Marina L. Gavrilova (University of Calgary, Canada)
Copyright: © 2020
|Pages: 24
DOI: 10.4018/978-1-7998-4444-0.ch001
Abstract
Smart societies of the future will increasingly rely on harvesting rich information generated by day-to-day activities and interactions of its inhabitants. Among the multitude of such interactions, web-based social networking activities became an integral part of everyday human communication. Flickr, Facebook, Twitter, and LinkedIn are currently used by millions of users worldwide as a source of information, which is growing exponentially over time. In addition to idiosyncratic personal characteristics, web-based social data include person-to-person communication, online activity patterns, and temporal information, among others. However, analysis of social interaction-based data has been studied from the perspective of person identification only recently. In this chapter, the authors elaborate on the concept of using interaction-based features from online social networking platforms as a part of social behavioral biometrics research domain. They place this research in the context of smart societies and discuss novel social biometric features and their potential use in various applications.