Verifying the identity of a person that he/she claims to be based on some biometric traits.
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.