Social Behavioral Biometrics in Smart Societies

Author:

Tumpa Sanjida Nasreen1ORCID,Kumar K. N. Pavan1ORCID,Sultana Madeena1,Hsu Gee-Sern Jison2ORCID,Yadid-Pecht Orly1,Yanushkevich Svetlana1ORCID,Gavrilova Marina L.1

Affiliation:

1. University of Calgary, Canada

2. National Taiwan University of Science and Technology, Taiwan

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.

Publisher

IGI Global

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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3. Artificial Intelligence in Biometrics: Uncovering Intricacies of Human Body and Mind;Learning and Analytics in Intelligent Systems;2022

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